From 9b8ab9cabb51a65592b763be5850ede5e4c03d66 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Lennart=20Oelschl=C3=A4ger?= Date: Tue, 5 May 2026 11:47:35 +0200 Subject: [PATCH 1/3] Small documentation fixes. Removed renv. --- .Rbuildignore | 6 +- DESCRIPTION | 4 +- NEWS.md | 8 +- R/compute_ci.R | 3 +- R/data_and_models.R | 8 +- R/decode_states.R | 17 +- R/fHMM-package.R | 13 +- R/fHMM_colors.R | 15 +- R/fHMM_controls.R | 41 +- R/fHMM_data.R | 5 +- R/fHMM_events.R | 6 +- R/fHMM_model.R | 14 +- R/fHMM_parameters.R | 53 +- R/get_initial_values.R | 66 +- R/parameter_labels.R | 9 +- R/plot.R | 106 +- R/read_data.R | 70 +- R/reorder_states.R | 35 +- README.Rmd | 19 +- README.md | 21 +- development_packages.R | 18 - man/compute_ci.Rd | 3 +- man/dax_model_2n.Rd | 2 +- man/dax_model_3t.Rd | 2 +- man/dax_vw_model.Rd | 2 +- man/decode_states.Rd | 6 +- man/fHMM_colors.Rd | 6 +- man/fHMM_data.Rd | 3 +- man/fHMM_parameters.Rd | 4 +- man/fit_model.Rd | 6 +- man/ll_hmm.Rd | 3 +- man/parameter_transformations.Rd | 6 +- man/read_data.Rd | 6 +- man/reorder_states.Rd | 8 +- man/set_controls.Rd | 8 +- man/unemp_spx_model_3_2.Rd | 2 +- renv.lock | 6008 ----------------- renv/.gitignore | 7 - renv/activate.R | 1334 ---- src/RcppExports.o | Bin 1347832 -> 1347505 bytes src/fHMM.dll | Bin 4908630 -> 4993240 bytes src/ll.cpp | 11 +- src/ll.o | Bin 984906 -> 1024658 bytes tests/testthat/test-compute_T_star.R | 25 +- tests/testthat/test-fHMM_parameters.R | 125 +- vignettes/fHMM-decoded-ts-1.png | Bin 34246 -> 0 bytes vignettes/fHMM-events-1.png | Bin 16652 -> 0 bytes vignettes/fHMM-plot-lls-1.png | Bin 6796 -> 0 bytes vignettes/fHMM-plot-res-1.png | Bin 14806 -> 0 bytes vignettes/fHMM-plot-sdds-1.png | Bin 7342 -> 0 bytes vignettes/v01_model_definition.Rmd | 8 +- vignettes/v02_controls.Rmd | 2 +- vignettes/v03_data_management.Rmd | 22 +- vignettes/v04_model_estimation.Rmd | 18 +- .../v05_state_decoding_and_prediction.Rmd | 8 +- vignettes/v06_model_checking.Rmd | 4 +- vignettes/v07_model_selection.Rmd | 4 +- 57 files changed, 587 insertions(+), 7593 deletions(-) delete mode 100644 development_packages.R delete mode 100644 renv.lock delete mode 100644 renv/.gitignore delete mode 100644 renv/activate.R delete mode 100644 vignettes/fHMM-decoded-ts-1.png delete mode 100644 vignettes/fHMM-events-1.png delete mode 100644 vignettes/fHMM-plot-lls-1.png delete mode 100644 vignettes/fHMM-plot-res-1.png delete mode 100644 vignettes/fHMM-plot-sdds-1.png diff --git a/.Rbuildignore b/.Rbuildignore index d3d4b3e3..4ef2242b 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -1,5 +1,3 @@ -^renv$ -^renv\.lock$ ..Rcheck ^.*\.Rproj$ ^\.Rproj\.user$ @@ -14,9 +12,7 @@ LICENSE docs/ vignettes/figs/ ^vignettes/.*cache -^CRAN-RELEASE$ ^cran-comments\.md$ ^CRAN-SUBMISSION$ ^sticker$ -^development_packages\.R$ -^fit_models\.R$ +^doc$ diff --git a/DESCRIPTION b/DESCRIPTION index 07674b84..00bf2d8e 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Package: fHMM Type: Package Title: Fitting Hidden Markov Models to Financial Data -Version: 1.4.2 +Version: 1.4.3 Authors@R: c( person(given = "Lennart", family = "Oelschl\U00E4ger", @@ -63,7 +63,7 @@ Suggests: testthat (>= 3.0.0), tseries Roxygen: list(markdown = TRUE) -RoxygenNote: 7.3.2 +RoxygenNote: 7.3.3 VignetteBuilder: knitr Config/testthat/edition: 3 LazyData: true diff --git a/NEWS.md b/NEWS.md index 158e5305..86326f14 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,3 +1,9 @@ +# fHMM 1.4.3 + +* Small documentation fixes. + +* Removed renv. + # fHMM 1.4.2 * Let `download_data()` fail gracefully with an informative message if the Yahoo Finance resource is not available or has changed. @@ -10,7 +16,7 @@ * Removed stale import of `oeli::check_date()`. -* Updated `download_data()` to confirm with new Yahoo Finance API. +* Updated `download_data()` to work with the new Yahoo Finance API. # fHMM 1.4.0 diff --git a/R/compute_ci.R b/R/compute_ci.R index 99094c89..c6878bdc 100644 --- a/R/compute_ci.R +++ b/R/compute_ci.R @@ -8,7 +8,8 @@ #' An object of class \code{\link{fHMM_model}}. #' #' @param alpha -#' A \code{numeric} between 0 and 1, the alpha level for the confidence interval. +#' A \code{numeric} between 0 and 1, the alpha level for the confidence +#' interval. #' By default, \code{alpha = 0.05}, which computes a 95% confidence interval. #' #' @return diff --git a/R/data_and_models.R b/R/data_and_models.R index 9e763b7c..34632c30 100644 --- a/R/data_and_models.R +++ b/R/data_and_models.R @@ -113,7 +113,7 @@ #' @description #' A pre-computed HMM on closing prices of the DAX from 2000 to 2022 #' with two hidden states and normal state-dependent distributions for -#' demonstration purpose. +#' demonstration purposes. #' #' @usage data("dax_model_2n") #' @@ -150,7 +150,7 @@ #' @description #' A pre-computed HMM on closing prices of the DAX from 2000 to 2022 #' with three hidden states and state-dependent t-distributions for -#' demonstration purpose. +#' demonstration purposes. #' #' @usage data("dax_model_3t") #' @@ -193,7 +193,7 @@ #' A pre-computed HHMM with monthly averaged closing prices of the #' DAX from 2010 to 2022 on the coarse scale, Volkswagen AG stock data on the #' fine scale, two hidden fine-scale and coarse-scale states, respectively, and -#' state-dependent t-distributions for demonstration purpose. +#' state-dependent t-distributions for demonstration purposes. #' #' @usage data("dax_vw_model") #' @@ -235,7 +235,7 @@ #' @description #' A pre-computed HHMM with monthly unemployment rate in the US on the coarse #' scale using 3 states and S&P 500 index data on the fine scale using 2 states -#' from 1970 to 2020 for demonstration purpose. +#' from 1970 to 2020 for demonstration purposes. #' #' @usage data("unemp_spx_model_3_2") #' diff --git a/R/decode_states.R b/R/decode_states.R index eb157f8b..1baf2d5f 100644 --- a/R/decode_states.R +++ b/R/decode_states.R @@ -99,13 +99,15 @@ decode_states <- function(x, verbose = TRUE) { #' #' @param sigma #' A positive \code{numeric} vector of standard deviations for the -#' state-dependent distribution in the different states of length \code{nstates}. +#' state-dependent distribution in the different states of length +#' \code{nstates}. #' #' Not relevant in case of a state-dependent Poisson distribution. #' #' @param df #' A positive \code{numeric} vector of degrees of freedom for the -#' state-dependent distribution in the different states of length \code{nstates}. +#' state-dependent distribution in the different states of length +#' \code{nstates}. #' #' Only relevant in case of a state-dependent t-distribution. #' @@ -140,14 +142,17 @@ viterbi <- function( ) } if (sdd == "normal") { - allprobs[n, ] <- stats::dnorm(observations, mean = mu[n], sd = sigma[n]) + allprobs[n, ] <- stats::dnorm( + observations, mean = mu[n], sd = sigma[n] + ) } if (sdd == "lognormal") { - allprobs[n, ] <- stats::dlnorm(observations, meanlog = mu[n], - sdlog = sigma[n]) + allprobs[n, ] <- stats::dlnorm( + observations, meanlog = mu[n], sdlog = sigma[n] + ) } if (sdd == "poisson") { - allprobs[n, ] <- stats::dpois(observations, lambda = mu[n]) + allprobs[n, ] <- stats::dpois(observations, lambda = mu[n]) } } xi <- matrix(0, nstates, T) diff --git a/R/fHMM-package.R b/R/fHMM-package.R index 922c8b67..2dc9744c 100644 --- a/R/fHMM-package.R +++ b/R/fHMM-package.R @@ -6,8 +6,17 @@ .onAttach <- function(lib, pkg) { msg <- c( - paste0("Thanks for using {fHMM} version ", utils::packageVersion("fHMM")), "!\n", - "See ", cli::style_hyperlink("https://loelschlaeger.de/fHMM", "https://loelschlaeger.de/fHMM") ," for help." + paste0( + "Thanks for using {fHMM} version ", + utils::packageVersion("fHMM") + ), + "!\n", + "See ", + cli::style_hyperlink( + "https://loelschlaeger.de/fHMM", + "https://loelschlaeger.de/fHMM" + ), + " for help." ) packageStartupMessage(msg) invisible() diff --git a/R/fHMM_colors.R b/R/fHMM_colors.R index f5d2cb1f..b5d1880d 100644 --- a/R/fHMM_colors.R +++ b/R/fHMM_colors.R @@ -18,8 +18,10 @@ #' length \code{controls$states} of color codes, #' \item for \code{controls$hierarchy == TRUE} a \code{list} of #' \itemize{ -#' \item a \code{character} vector of length \code{controls$states[1]} and -#' \item a \code{character} matrix of dimensions \code{controls$states} +#' \item a \code{character} vector of length +#' \code{controls$states[1]} and +#' \item a \code{character} matrix of dimensions +#' \code{controls$states} #' } #' with color codes. #' } @@ -45,7 +47,10 @@ fHMM_colors <- function(controls, colors = NULL) { stop("'colors' must be a character vector.", call. = FALSE) } for (col in colors) { - out <- tryCatch(is.matrix(grDevices::col2rgb(col)), error = function(e) FALSE) + out <- tryCatch( + is.matrix(grDevices::col2rgb(col)), + error = function(e) FALSE + ) if (out == FALSE) { stop("'", col, "' in 'colors' is not a valid color representation.", call. = FALSE) @@ -53,7 +58,9 @@ fHMM_colors <- function(controls, colors = NULL) { } ### helper functions - var_col <- function(col, n) grDevices::colorRampPalette(c("white", col, "black"))(n + 2)[2:(n + 1)] + var_col <- function(col, n) { + grDevices::colorRampPalette(c("white", col, "black"))(n + 2)[2:(n + 1)] + } base_col <- function(n) grDevices::colorRampPalette(colors)(n) col_alpha <- function(col, alpha = 0.6) grDevices::adjustcolor(col, alpha) diff --git a/R/fHMM_controls.R b/R/fHMM_controls.R index ba9277a8..3b34147b 100644 --- a/R/fHMM_controls.R +++ b/R/fHMM_controls.R @@ -235,8 +235,8 @@ #' By default, \code{accept = 1:3}. #' #' @param gradtol -#' A positive \code{numeric} value, specifying the gradient tolerance, passed on -#' to \code{\link[stats]{nlm}}. +#' A positive \code{numeric} value, specifying the gradient tolerance, passed +#' on to \code{\link[stats]{nlm}}. #' #' By default, \code{gradtol = 0.01}. #' @@ -253,10 +253,10 @@ #' By default, \code{print.level = 0}. #' #' @param steptol -#' A positive \code{numeric} value, specifying the step tolerance, passed on +#' A positive \code{numeric} value, specifying the step tolerance, passed on #' to \code{\link[stats]{nlm}}. #' -#' By default, \code{gradtol = 0.01}. +#' By default, \code{steptol = 0.01}. #' #' @param x,object #' An object of class \code{fHMM_controls}. @@ -290,7 +290,7 @@ #' hierarchy = TRUE, # defines a hierarchy #' states = c(3, 2), # coarse scale and fine scale states #' sdds = c("gamma", "poisson"), # distributions for both layers -#' horizon = c(100, NA), # 100 simulated coarse-scale data points +#' horizon = c(100, NA), # 100 coarse-scale data points #' period = "m" # monthly simulated fine-scale data #' ) #' @@ -358,7 +358,8 @@ set_controls <- function( redundant_controls <- setdiff(names(controls), c(all_controls, "simulated")) if (length(redundant_controls) > 0) { warning( - "The following element(s) in 'controls' are ignored, did you misspll?\n", + "The following element(s) in 'controls' are ignored, ", + "did you misspell?\n", paste(redundant_controls, collapse = ", "), call. = FALSE ) @@ -377,7 +378,8 @@ set_controls <- function( ) if (length(redundant_data_controls) > 0) { warning( - "The following element(s) in 'controls$data' are ignored, did you misspll?\n", + "The following element(s) in 'controls$data' are ignored, ", + "did you misspell?\n", paste(redundant_data_controls, collapse = ", "), call. = FALSE ) @@ -390,7 +392,8 @@ set_controls <- function( ) if (length(redundant_data_controls) > 0) { warning( - "The following element(s) in 'data' are ignored, did you misspll?\n", + "The following element(s) in 'data' are ignored, ", + "did you misspell?\n", paste(redundant_data_controls, collapse = ", "), call. = FALSE ) @@ -412,7 +415,8 @@ set_controls <- function( redundant_fit_controls <- setdiff(names(controls[["fit"]]), fit_controls) if (length(redundant_fit_controls) > 0) { warning( - "The following element(s) in 'controls$fit' are ignored, did you misspll?\n", + "The following element(s) in 'controls$fit' are ignored, ", + "did you misspell?\n", paste(redundant_fit_controls, collapse = ", "), call. = FALSE ) @@ -423,7 +427,8 @@ set_controls <- function( redundant_fit_controls <- setdiff(names(fit), fit_controls) if (length(redundant_fit_controls) > 0) { warning( - "The following element(s) in 'fit' are ignored, did you misspll?\n", + "The following element(s) in 'fit' are ignored, ", + "did you misspell?\n", paste(redundant_fit_controls, collapse = ", "), call. = FALSE ) @@ -637,7 +642,9 @@ validate_controls <- function(controls) { stop("The control 'horizon' must be a vector of length 2.", call. = FALSE) } if (!all(is.na(controls[["horizon"]]))) { - if (!checkmate::test_integerish(controls[["horizon"]], lower = 1, len = 2)) { + if (!checkmate::test_integerish( + controls[["horizon"]], lower = 1, len = 2 + )) { stop( "The control 'horizon' must be an integer vector of length 2.", call. = FALSE @@ -699,7 +706,8 @@ validate_controls <- function(controls) { controls[["data"]][["file"]], len = 2, any.missing = FALSE )) { stop( - "The control 'file' in 'data' must be a character vector of length two.", + "The control 'file' in 'data' must be a character vector ", + "of length two.", call. = FALSE ) } @@ -720,7 +728,9 @@ validate_controls <- function(controls) { call. = FALSE ) } - if (!checkmate::test_logical(controls[["data"]][["logreturns"]], len = 2)) { + if (!checkmate::test_logical( + controls[["data"]][["logreturns"]], len = 2 + )) { stop( "'logreturns' in 'data' must be a boolean vector of length two.", call. = FALSE @@ -733,7 +743,10 @@ validate_controls <- function(controls) { ) } try_merge <- try(controls[["data"]][["merge"]](-10:10), silent = TRUE) - if (inherits(try_merge,"try-error") || !checkmate::test_number(try_merge)) { + if ( + inherits(try_merge, "try-error") || + !checkmate::test_number(try_merge) + ) { stop( "'merge' in 'data' should merge a vector into a single number.", call. = FALSE diff --git a/R/fHMM_data.R b/R/fHMM_data.R index 30385d95..61e01d6a 100644 --- a/R/fHMM_data.R +++ b/R/fHMM_data.R @@ -27,7 +27,8 @@ #' \itemize{ #' \item The \code{matrix} of the \code{dates} if \code{simulated = FALSE} and #' \code{controls$data$data_column} is specified, -#' \item the \code{matrix} of the \code{time_points} if \code{simulated = TRUE} +#' \item the \code{matrix} of the \code{time_points} if +#' \code{simulated = TRUE} #' or \code{controls$data$data_column} is not specified, #' \item the \code{matrix} of the simulated \code{markov_chain} if #' \code{simulated = TRUE}, @@ -42,7 +43,7 @@ #' } fHMM_data <- function( - dates, time_points, markov_chain, data, time_series, T_star, controls, + dates, time_points, markov_chain, data, time_series, T_star, controls, true_parameters ) { structure( diff --git a/R/fHMM_events.R b/R/fHMM_events.R index bdfdf6e8..a0da165f 100644 --- a/R/fHMM_events.R +++ b/R/fHMM_events.R @@ -36,8 +36,10 @@ fHMM_events <- function(events) { stop("'events' must be a list of two elements.", call. = FALSE) } if (!identical(names(events), c("dates", "labels"))) { - stop("'events' must be a list containing the elements 'dates' and 'labels'.", - call. = FALSE) + stop( + "'events' must be a list containing the elements 'dates' and 'labels'.", + call. = FALSE + ) } events$dates <- check_date(events$dates) class(events) <- "fHMM_events" diff --git a/R/fHMM_model.R b/R/fHMM_model.R index 21630c25..b9bf9ed7 100644 --- a/R/fHMM_model.R +++ b/R/fHMM_model.R @@ -64,7 +64,10 @@ fHMM_model <- function( print.fHMM_model <- function(x, ...) { cat("fHMM fitted model:\n") - cat("* total estimation time:", x$estimation_time, units(x$estimation_time), "\n") + cat( + "* total estimation time:", x$estimation_time, + units(x$estimation_time), "\n" + ) cat("* accepted runs:", sum(!is.na(x$lls)), "of", length(x$lls), "\n") cat("* log-likelihood:", x$ll, "\n") invisible(x) @@ -318,7 +321,14 @@ predict.fHMM_model <- function(object, ahead = 5, alpha = 0.05, ...) { ### predict states state_prediction <- matrix(NA_real_, nrow = ahead, ncol = M) - last_state <- tail(if (object$data$controls$hierarchy) object$decoding[, 1] else object$decoding, n = 1) + last_state <- tail( + if (object$data$controls$hierarchy) { + object$decoding[, 1] + } else { + object$decoding + }, + n = 1 + ) state_prob <- replace(numeric(M), last_state, 1) for (i in 1:ahead) { state_prob <- state_prob %*% par$Gamma diff --git a/R/fHMM_parameters.R b/R/fHMM_parameters.R index dd617339..dc54fbab 100644 --- a/R/fHMM_parameters.R +++ b/R/fHMM_parameters.R @@ -5,8 +5,8 @@ #' Unspecified parameters are sampled. #' #' @details -#' See the [vignette on the model definition](https://loelschlaeger.de/fHMM/articles/) -#' for more details. +#' See the package vignettes at +#' for details. #' #' @inheritParams set_controls #' @@ -170,12 +170,14 @@ fHMM_parameters <- function( for (i in 1:M) { if (sdds[[2]]$name %in% c("normal", "t", "lognormal")) { ### expectation is unrestricted - mu_star[[i]] <- stats::qunif((0:(N - 1) / N + stats::runif(1, 0, 1 / N)), -1, 1) * + probs <- 0:(N - 1) / N + stats::runif(1, 0, 1 / N) + mu_star[[i]] <- stats::qunif(probs, -1, 1) * scale_par[2] } if (sdds[[2]]$name %in% c("poisson", "gamma")) { ### expectation is positive - mu_star[[i]] <- stats::qunif((0:(N - 1) / N + stats::runif(1, 0, 1 / N)), 0, 1) * + probs <- 0:(N - 1) / N + stats::runif(1, 0, 1 / N) + mu_star[[i]] <- stats::qunif(probs, 0, 1) * scale_par[2] } } @@ -184,7 +186,8 @@ fHMM_parameters <- function( sigma_star <- list() for (i in 1:M) { ### standard deviation is positive - sigma_star[[i]] <- stats::qunif((0:(N - 1) / N + stats::runif(1, 0, 1 / N)), 0, 1) * + probs <- 0:(N - 1) / N + stats::runif(1, 0, 1 / N) + sigma_star[[i]] <- stats::qunif(probs, 0, 1) * scale_par[2] } } @@ -196,7 +199,8 @@ fHMM_parameters <- function( df_star <- list() for (i in 1:M) { ### degrees of freedom are positive - df_star[[i]] <- stats::qunif((0:(N - 1) / N + stats::runif(1, 0, 1 / N)), 1, 30) + probs <- 0:(N - 1) / N + stats::runif(1, 0, 1 / N) + df_star[[i]] <- stats::qunif(probs, 1, 30) } } } else { @@ -311,15 +315,24 @@ fHMM_parameters <- function( if (sdds[[2]]$name %in% c("t", "normal", "lognormal")) { if (!checkmate::test_numeric(mu_star[[i]], len = N)) { stop( - paste("Element", i, "in 'mu_star' must be a numeric vector of length", N), + paste( + "Element", i, "in 'mu_star' must be a numeric vector of", + "length", N + ), call. = FALSE ) } } if (sdds[[2]]$name %in% c("gamma", "poisson")) { - if (!checkmate::test_numeric(mu_star[[i]], len = N) || any(mu_star[[i]] <= 0)) { + if ( + !checkmate::test_numeric(mu_star[[i]], len = N) || + any(mu_star[[i]] <= 0) + ) { stop( - paste("Element", i, "in 'mu_star' must be a positive numeric vector of length", N), + paste( + "Element", i, "in 'mu_star' must be a positive numeric", + "vector of length", N + ), call. = FALSE ) } @@ -335,7 +348,10 @@ fHMM_parameters <- function( for (i in 1:M) { if (!checkmate::test_numeric(sigma_star[[i]], len = N, lower = 0)) { stop( - paste("Element", i, "in 'sigma_star' must be a positive numeric vector of length", N), + paste( + "Element", i, "in 'sigma_star' must be a positive numeric", + "vector of length", N + ), call. = FALSE ) } @@ -351,7 +367,10 @@ fHMM_parameters <- function( for (i in 1:M) { if (!checkmate::test_numeric(df_star[[i]], len = N, lower = 0)) { stop( - paste("Element", i, "in 'df_star' must be a positive numeric vector of length", N), + paste( + "Element", i, "in 'df_star' must be a positive numeric", + "vector of length", N + ), call. = FALSE ) } @@ -466,7 +485,8 @@ print.fHMM_parameters <- function(x, ...) { #' \item expectations \code{muCon} #' \item standard deviations \code{sigmaCon} (if any) #' \item degrees of freedom \code{dfCon} (if any) -#' \item fine-scale parameters for each coarse-scale state, in the same order (if any) +#' \item fine-scale parameters for each coarse-scale state, in the same order +#' (if any) #' } #' #' @param parUncon @@ -477,7 +497,8 @@ print.fHMM_parameters <- function(x, ...) { #' \item expectations \code{muUncon} #' \item standard deviations \code{sigmaUncon} (if any) #' \item degrees of freedom \code{dfUncon} (if any) -#' \item fine-scale parameters for each coarse-scale state, in the same order (if any) +#' \item fine-scale parameters for each coarse-scale state, in the same order +#' (if any) #' } #' #' @param link @@ -1050,7 +1071,9 @@ gammasCon2gammasUncon <- function( gammasCon, dim, prefix = "gammasUncon_", use_parameter_labels = TRUE ) { Gamma2gammasUncon( - gammasCon2Gamma(gammasCon, dim, use_parameter_labels = use_parameter_labels), + gammasCon2Gamma( + gammasCon, dim, use_parameter_labels = use_parameter_labels + ), prefix = prefix, use_parameter_labels = use_parameter_labels ) @@ -1094,4 +1117,4 @@ gammasUncon2gammasCon <- function( use_parameter_labels = use_parameter_labels, numerical_safeguard = numerical_safeguard ) -} \ No newline at end of file +} diff --git a/R/get_initial_values.R b/R/get_initial_values.R index 02abeef0..48b2179e 100644 --- a/R/get_initial_values.R +++ b/R/get_initial_values.R @@ -28,7 +28,8 @@ #' @keywords internal get_initial_values <- function( - data, ncluster = 1, seed = NULL, verbose = TRUE, initial_estimate = NULL + data, ncluster = 1, seed = NULL, verbose = TRUE, + initial_estimate = NULL ) { ### input checks @@ -62,23 +63,31 @@ get_initial_values <- function( ### check correct format expected_length <- length(par2parUncon(fHMM_parameters(controls), controls)) test_initial_estimate <- oeli::test_numeric_vector( - initial_estimate, finite = TRUE, any.missing = FALSE, len = expected_length + initial_estimate, finite = TRUE, any.missing = FALSE, + len = expected_length ) if (!test_initial_estimate) { ll <- NA_real_ if (verbose) { error_msg <- oeli::check_numeric_vector( - initial_estimate, finite = TRUE, any.missing = FALSE, len = expected_length + initial_estimate, finite = TRUE, any.missing = FALSE, + len = expected_length ) message("'initial_estimate' is bad: ", error_msg) } } else { ### check implied log-likelihood value - ll <- try(compute_ll_at_initial_estimate(initial_estimate), silent = TRUE) + ll <- try( + compute_ll_at_initial_estimate(initial_estimate), + silent = TRUE + ) } ### return value - if (!(inherits(ll, "try-error") || is.na(ll) || is.nan(ll) || abs(ll) > 1e100)) { + ll_failed <- ( + inherits(ll, "try-error") || is.na(ll) || is.nan(ll) || abs(ll) > 1e100 + ) + if (!ll_failed) { if (return_value) { return(ll) } else { @@ -101,10 +110,13 @@ get_initial_values <- function( if (verbose) { message("Initializing using given value 'initial_estimate'") } - if (!check_initial_estimate(initial_estimate, verbose = verbose, return_value = FALSE)) { + if (!check_initial_estimate( + initial_estimate, verbose = verbose, return_value = FALSE + )) { if (verbose) { message( - "Initializing at 'initial_estimate' failed, applying heuristic instead" + "Initializing at 'initial_estimate' failed, ", + "applying heuristic instead" ) } initial_estimate <- NULL @@ -112,13 +124,17 @@ get_initial_values <- function( class(initial_estimate) <- c("parUncon", "numeric") initial_estimate <- try( par2parUncon( - parUncon2par(initial_estimate, controls), controls, use_parameter_labels = TRUE - ), silent = TRUE + parUncon2par(initial_estimate, controls), + controls, + use_parameter_labels = TRUE + ), + silent = TRUE ) if (inherits(initial_estimate, "try-error")) { if (verbose) { message( - "Initializing at 'initial_estimate' failed, applying heuristic instead" + "Initializing at 'initial_estimate' failed, ", + "applying heuristic instead" ) } initial_estimate <- NULL @@ -132,7 +148,9 @@ get_initial_values <- function( message("Initializing at true values") } initial_estimate <- par2parUncon(data[["true_parameters"]], controls) - if (check_initial_estimate(initial_estimate, verbose = verbose, return_value = FALSE)) { + if (check_initial_estimate( + initial_estimate, verbose = verbose, return_value = FALSE + )) { ### only one initial value in this case return(list(initial_estimate)) @@ -191,7 +209,8 @@ get_initial_values <- function( ### heuristic for coarse-scale heuristic_cs <- initial_heuristic( data = data[["data"]][, 1], states = controls[["states"]][1], - positive_mu = controls[["sdds"]][[1]][["name"]] %in% c("gamma", "poisson") + positive_mu = controls[["sdds"]][[1]][["name"]] %in% + c("gamma", "poisson") ) cluster_cs <- heuristic_cs[["cluster"]] initial_estimate_list_cs <- heuristic_cs[["pars"]] @@ -204,14 +223,17 @@ get_initial_values <- function( cluster_fs_data <- as.vector(data[["data"]][s == cluster_cs, -1]) heuristic_fs <- initial_heuristic( cluster_fs_data, states = controls[["states"]][2], - positive_mu = controls[["sdds"]][[2]][["name"]] %in% c("gamma", "poisson") + positive_mu = controls[["sdds"]][[2]][["name"]] %in% + c("gamma", "poisson") ) Gamma_star[[s]] <- heuristic_fs[["pars"]][["Gamma"]] mu_star[[s]] <- heuristic_fs[["pars"]][["mu"]] sigma_star[[s]] <- heuristic_fs[["pars"]][["sigma"]] } initial_estimate_list_fs <- list( - "Gamma_star" = Gamma_star, "mu_star" = mu_star, "sigma_star" = sigma_star + "Gamma_star" = Gamma_star, + "mu_star" = mu_star, + "sigma_star" = sigma_star ) ### combine coarse-scale and fine-scale @@ -227,7 +249,8 @@ get_initial_values <- function( } else { initial_estimate_list <- initial_heuristic( data = data[["data"]], states = controls[["states"]], - positive_mu = controls[["sdds"]][[1]][["name"]] %in% c("gamma", "poisson") + positive_mu = controls[["sdds"]][[1]][["name"]] %in% + c("gamma", "poisson") )[["pars"]] initial_estimate <- par2parUncon( do.call( @@ -251,7 +274,10 @@ get_initial_values <- function( jittered[, id] <- jitter(jittered[, id], factor = 10) } lapply(seq_len(N), function(i) { - structure(jittered[i, ], names = par_names, class = c("parUncon", "numeric")) + structure( + jittered[i, ], names = par_names, + class = c("parUncon", "numeric") + ) }) } @@ -270,7 +296,7 @@ get_initial_values <- function( ind <- which(is.na(ll_at_initial_values)) N <- length(initial_values) - ### stopping criterium + ### stopping criterion if (length(ind) == 0 && N == runs) { break } @@ -311,7 +337,9 @@ get_initial_values <- function( ### replace initial values that lead to NA ind <- which(is.na(ll_at_initial_values)) if (length(ind) > 0) { - initial_values[ind] <- jitter_initial_estimate(initial_estimate, length(ind)) + initial_values[ind] <- jitter_initial_estimate( + initial_estimate, length(ind) + ) } ### drop largest negative log-likelihood value @@ -324,4 +352,4 @@ get_initial_values <- function( ### return list of initial values return(initial_values) -} \ No newline at end of file +} diff --git a/R/parameter_labels.R b/R/parameter_labels.R index c6120777..5ac9fde3 100644 --- a/R/parameter_labels.R +++ b/R/parameter_labels.R @@ -20,7 +20,9 @@ parameter_labels <- function(controls, expected_length = NULL) { if (!inherits(controls,"fHMM_controls")) { stop("'controls' is not of class 'fHMM_controls'.", call. = FALSE) } - if (!checkmate::test_count(expected_length, positive = TRUE, null.ok = TRUE)) { + if (!checkmate::test_count( + expected_length, positive = TRUE, null.ok = TRUE + )) { stop("'expected_length' must be a positive integer.", call. = FALSE) } @@ -49,7 +51,10 @@ parameter_labels <- function(controls, expected_length = NULL) { } if (controls[["hierarchy"]]) { for (i in 1:controls$states[1]) { - labels <- c(labels, paste0("Gamma*", i, "_", tpm_labels(controls$states[2]))) + labels <- c( + labels, + paste0("Gamma*", i, "_", tpm_labels(controls$states[2])) + ) for (par in par_types(2)) { if (is.null(controls[["sdds"]][[2]]$pars[[par]])) { labels <- c(labels, paste0(par, "*", i, "_", 1:controls$states[2])) diff --git a/R/plot.R b/R/plot.R index 029fc38a..0b5d2fb0 100644 --- a/R/plot.R +++ b/R/plot.R @@ -132,7 +132,8 @@ plot.fHMM_model <- function( if ("pr" %in% plot_type) { if (is.null(x$residuals)) { warning( - "Residuals are not available, please call 'compute_residuals()' first.", + "Residuals are not available, ", + "please call 'compute_residuals()' first.", call. = FALSE ) } else { @@ -177,14 +178,21 @@ plot_ll <- function(lls, ll_relative = TRUE) { } max_ll <- max(lls, na.rm = TRUE) min_ll <- min(lls, na.rm = TRUE) - main <- ifelse(ll_relative, "Relative log-likelihoods", "Log-likelihood values") + main <- ifelse( + ll_relative, + "Relative log-likelihoods", + "Log-likelihood values" + ) if (length(lls) <= 5) { plot(lls, xaxt = "n", yaxt = "n", xlab = "Estimation run", ylab = "", main = main, pch = 16, ylim = c(floor(min_ll), ceiling(max_ll)) ) - graphics::axis(1, las = 1, at = seq_len(length(lls)), labels = seq_len(length(lls))) + graphics::axis( + 1, las = 1, at = seq_len(length(lls)), + labels = seq_len(length(lls)) + ) } else { plot(lls, yaxt = "n", xlab = "Estimation run", ylab = "", @@ -293,7 +301,10 @@ plot_pr <- function(residuals, hierarchy) { par(oma = oma, bty = "n") graphics::layout(matrix(1:8, 2, 4, byrow = TRUE)) helper_pr(residuals = residuals[, 1]) - main <- "Coarse-scale (top row) and fine-scale pseudo-residuals (bottom row)" + main <- paste( + "Coarse-scale (top row) and fine-scale pseudo-residuals", + "(bottom row)" + ) graphics::title(main, line = 0, outer = TRUE) helper_pr(residuals = as.vector(residuals[, -1])) } @@ -361,8 +372,14 @@ plot_sdds <- function(est, true = NULL, controls, colors) { xmin <- min(est$mu - 3 * est$sigma, na.rm = TRUE) xmax <- max(est$mu + 3 * est$sigma, na.rm = TRUE) if (!is.null(true)) { - xmin <- min(xmin, min(true$mu - 3 * true$sigma, na.rm = TRUE), na.rm = TRUE) - xmax <- max(xmax, max(true$mu + 3 * true$sigma, na.rm = TRUE), na.rm = TRUE) + xmin <- min( + xmin, min(true$mu - 3 * true$sigma, na.rm = TRUE), + na.rm = TRUE + ) + xmax <- max( + xmax, max(true$mu + 3 * true$sigma, na.rm = TRUE), + na.rm = TRUE + ) } if (name == "gamma") { xmin <- 0.01 @@ -468,8 +485,14 @@ plot_sdds <- function(est, true = NULL, controls, colors) { NULL }, xlim_fix = c( - min(mapply(function(x,y) x - 3*y, est$mu_star, est$sigma_star), na.rm = TRUE), - max(mapply(function(x,y) x + 3*y, est$mu_star, est$sigma_star), na.rm = TRUE) + min( + mapply(function(x, y) x - 3 * y, est$mu_star, est$sigma_star), + na.rm = TRUE + ), + max( + mapply(function(x, y) x + 3 * y, est$mu_star, est$sigma_star), + na.rm = TRUE + ) ) ) legend( @@ -572,7 +595,10 @@ plot_ts <- function( markdates <- seq(xmin, xmax, by = "year") markdates <- markdates[1:length(markdates) %% 2 == 1] axis(1, markdates, format(markdates, "%Y")) - y_ticks <- signif(seq(floor(min(ydata, na.rm = TRUE)), ymax, length.out = 3), digits = 3) + y_ticks <- signif( + seq(floor(min(ydata, na.rm = TRUE)), ymax, length.out = 3), + digits = 3 + ) axis(4, y_ticks) mtext(data_lab, side = 4, line = 3.5, at = mean(y_ticks), @@ -581,7 +607,10 @@ plot_ts <- function( if (!controls[["hierarchy"]]) { if (!is.null(decoding)) { for (s in seq_len(controls[["states"]][1])) { - points(xdata[decoding == s], ydata[decoding == s], col = colors[s], pch = 20) + points( + xdata[decoding == s], ydata[decoding == s], + col = colors[s], pch = 20 + ) } } } @@ -644,11 +673,16 @@ plot_ts <- function( } if (!controls[["simulated"]]) { if (!controls[["hierarchy"]]) { - text <- ifelse(controls$data$logreturns, "Log-returns", "Time series data") + text <- ifelse( + controls$data$logreturns, "Log-returns", "Time series data" + ) mtext(text, side = 2, line = 3.5, at = 0, cex = 1.25, las = 3) } if (controls[["hierarchy"]]) { - mtext("Fine-scale data", side = 2, line = 3.5, at = 0, cex = 1.25, las = 3) + mtext( + "Fine-scale data", + side = 2, line = 3.5, at = 0, cex = 1.25, las = 3 + ) } } if (controls[["simulated"]]) { @@ -675,29 +709,44 @@ plot_ts <- function( } if (!controls[["hierarchy"]] & !is.null(decoding)) { for (s in seq_len(controls[["states"]][1])) { - points(x_values[decoding == s], data[["data"]][decoding == s], col = colors[s], pch = 20) + points( + x_values[decoding == s], data[["data"]][decoding == s], + col = colors[s], pch = 20 + ) } } if (controls[["hierarchy"]] & !is.null(decoding)) { for (cs in seq_len(controls[["states"]][1])) { for (fs in seq_len(controls[["states"]][2])) { - points(x_values[decoding_cs == cs & decoding_fs == fs], fs_data[decoding_cs == cs & decoding_fs == fs], col = colors[["fs"]][cs, fs], pch = 20) + decoded_state <- decoding_cs == cs & decoding_fs == fs + points( + x_values[decoded_state], fs_data[decoded_state], + col = colors[["fs"]][cs, fs], pch = 20 + ) } } } if (!controls[["simulated"]] & !is.null(events)) { - events[["labels"]] <- events[["labels"]][events[["dates"]] > xmin & events[["dates"]] < xmax] - events[["dates"]] <- events[["dates"]][events[["dates"]] > xmin & events[["dates"]] < xmax] + events_in_range <- events[["dates"]] > xmin & events[["dates"]] < xmax + events[["labels"]] <- events[["labels"]][events_in_range] + events[["dates"]] <- events[["dates"]][events_in_range] if (length(events[["dates"]]) == 0) { warning("No events fall in the considered time period.", call. = FALSE) } else { for (l in seq_len(length(events[["dates"]]))) { if (events[["dates"]][l] > xmin & events[["dates"]][l] < xmax) { abline(v = as.Date(events[["dates"]][l])) - graphics::text(x = as.Date(events[["dates"]][l]), y = ymin, labels = l, pos = 2, cex = 1.25) + graphics::text( + x = as.Date(events[["dates"]][l]), y = ymin, + labels = l, pos = 2, cex = 1.25 + ) } } - mtext(paste0(seq_len(length(events[["labels"]])), ": ", events[["labels"]], collapse = " "), + event_labels <- paste0( + seq_len(length(events[["labels"]])), ": ", + events[["labels"]], collapse = " " + ) + mtext(event_labels, side = 1, line = 4, cex = 1.25 ) } @@ -717,7 +766,10 @@ plot_ts <- function( legend( legend = c( paste("Coarse-scale state", seq_len(controls[["states"]][1])), - paste0("Fine-scale state ", rep(1:controls[["states"]][2], each = controls[["states"]][1])) + paste0( + "Fine-scale state ", + rep(1:controls[["states"]][2], each = controls[["states"]][1]) + ) ), col = c(colors[["cs"]], as.vector(colors[["fs"]])), pt.lwd = c(rep(3, controls[["states"]][1]), rep(1, dim(eg)[1])), @@ -754,15 +806,25 @@ plot_ts <- function( axis(4, c(ymin, ymax), labels = signif(c(ymin, ymax), 2)) } if (controls[["simulated"]]) { - mtext("Simulated coarse-scale data", side = 4, line = 3.5, at = mean(c(ymin, ymax)), cex = 1.25, las = 3) + mtext( + "Simulated coarse-scale data", + side = 4, line = 3.5, at = mean(c(ymin, ymax)), + cex = 1.25, las = 3 + ) } if (!controls[["simulated"]]) { - mtext("Coarse-scale data", side = 4, line = 3.5, at = mean(c(ymin, ymax)), cex = 1.25, las = 3) + mtext( + "Coarse-scale data", + side = 4, line = 3.5, at = mean(c(ymin, ymax)), + cex = 1.25, las = 3 + ) } } if (!is.null(title)) { title(main = title) } else { - title(main = ifelse(is.null(decoding), "Time series", "Decoded time series")) + title( + main = ifelse(is.null(decoding), "Time series", "Decoded time series") + ) } } diff --git a/R/read_data.R b/R/read_data.R index d7cb7f29..fc50500c 100644 --- a/R/read_data.R +++ b/R/read_data.R @@ -8,9 +8,11 @@ #' @return #' A \code{list} containing the following elements: #' \itemize{ -#' \item the \code{matrix} of the \code{dates} if \code{controls$simulated = FALSE} +#' \item the \code{matrix} of the \code{dates} if +#' \code{controls$simulated = FALSE} #' and \code{controls$data$data_column} is specified, -#' \item the \code{matrix} of the \code{time_points} if \code{controls$simulated = TRUE} +#' \item the \code{matrix} of the \code{time_points} if +#' \code{controls$simulated = TRUE} #' or \code{controls$data$data_column} is not specified, #' \item the \code{matrix} of the empirical \code{data} used for estimation, #' \item the \code{matrix} named \code{time_series} of empirical data before @@ -71,7 +73,11 @@ read_data <- function(controls) { for (na_value in which(is.na(data_raw[[i]][[data_column[i]]]))) { incr <- 1 while (TRUE) { - range <- unique(abs(c((na_value - incr):(na_value - 1), (na_value + 1):(na_value + incr)))) + candidates <- c( + (na_value - incr):(na_value - 1), + (na_value + 1):(na_value + incr) + ) + range <- unique(abs(candidates)) replace <- mean(data_raw[[i]][[data_column[i]]][range], na.rm = TRUE) if (!is.nan(replace)) { data_raw[[i]][[data_column[i]]][na_value] <- replace @@ -88,7 +94,10 @@ read_data <- function(controls) { data_length <- length(data_raw[[i]][[data_column[i]]]) data_raw[[i]][["logreturns"]] <- numeric(data_length) for (t in seq_len(data_length)[-1]) { - data_raw[[i]][["logreturns"]][t] <- log(data_raw[[i]][[data_column[i]]][t] / data_raw[[i]][[data_column[i]]][t - 1]) + data_raw[[i]][["logreturns"]][t] <- log( + data_raw[[i]][[data_column[i]]][t] / + data_raw[[i]][[data_column[i]]][t - 1] + ) } ### remove 0 log-returns in case of gamma sdd to avoid numerical conflicts @@ -98,7 +107,10 @@ read_data <- function(controls) { step <- 1 cand <- 0 while (cand == 0) { - cand <- mean(data_raw[[i]][["logreturns"]][abs((t - step):(t + step))], na.rm = TRUE) + cand <- mean( + data_raw[[i]][["logreturns"]][abs((t - step):(t + step))], + na.rm = TRUE + ) step <- step + 1 } data_raw[[i]][["logreturns"]][t] <- cand @@ -112,8 +124,16 @@ read_data <- function(controls) { ### remove data points that do not occur in both files based on dates if (controls[["hierarchy"]]) { - data_raw[[1]] <- data_raw[[1]][data_raw[[1]][[date_column[1]]] %in% intersect(data_raw[[1]][[date_column[1]]], data_raw[[2]][[date_column[2]]]), ] - data_raw[[2]] <- data_raw[[2]][data_raw[[2]][[date_column[2]]] %in% intersect(data_raw[[2]][[date_column[2]]], data_raw[[1]][[date_column[1]]]), ] + common_dates <- intersect( + data_raw[[1]][[date_column[1]]], + data_raw[[2]][[date_column[2]]] + ) + data_raw[[1]] <- data_raw[[1]][ + data_raw[[1]][[date_column[1]]] %in% common_dates, + ] + data_raw[[2]] <- data_raw[[2]][ + data_raw[[2]][[date_column[2]]] %in% common_dates, + ] } ### function to find exact or nearest position of 'date' in 'data' @@ -136,7 +156,9 @@ read_data <- function(controls) { for (i in 1:ifelse(controls[["hierarchy"]], 2, 1)) { t_max <- controls[["data"]][["to"]] if (!is.na(t_max)) { - data_raw[[i]] <- data_raw[[i]][seq_len(find_date(t_max, data_raw[[i]])), ] + data_raw[[i]] <- data_raw[[i]][ + seq_len(find_date(t_max, data_raw[[i]])), + ] } t_min <- controls[["data"]][["from"]] if (!is.na(t_min)) { @@ -165,26 +187,41 @@ read_data <- function(controls) { if (controls[["hierarchy"]]) { data <- matrix(NA_real_, nrow = T, ncol = max(T_star) + 1) time_series <- matrix(NA_real_, nrow = T, ncol = max(T_star) + 1) - col_name <- if (controls[["data"]][["logreturns"]][2]) "logreturns" else data_column[2] + col_name <- if (controls[["data"]][["logreturns"]][2]) { + "logreturns" + } else { + data_column[2] + } for (t in seq_len(T)) { + chunk <- (sum(T_star[seq_len(t - 1)]) + 1):sum(T_star[seq_len(t)]) data[t, -1] <- c( - data_raw[[2]][[col_name]][(sum(T_star[seq_len(t - 1)]) + 1):sum(T_star[seq_len(t)])], + data_raw[[2]][[col_name]][chunk], rep(NA_real_, max(T_star) - T_star[t]) ) time_series[t, -1] <- c( - data_raw[[2]][[data_column[2]]][(sum(T_star[seq_len(t - 1)]) + 1):sum(T_star[seq_len(t)])], + data_raw[[2]][[data_column[2]]][chunk], rep(NA_real_, max(T_star) - T_star[t]) ) } - col_name <- if (controls[["data"]][["logreturns"]][1]) "logreturns" else data_column[1] + col_name <- if (controls[["data"]][["logreturns"]][1]) { + "logreturns" + } else { + data_column[1] + } for (t in seq_len(T)) { - cs_data_raw_t <- data_raw[[1]][[col_name]][(sum(T_star[seq_len(t - 1)]) + 1):sum(T_star[seq_len(t)])] + chunk <- (sum(T_star[seq_len(t - 1)]) + 1):sum(T_star[seq_len(t)]) + cs_data_raw_t <- data_raw[[1]][[col_name]][chunk] data[t, 1] <- controls[["data"]][["merge"]](cs_data_raw_t) - cs_data_raw_t <- data_raw[[1]][[data_column[1]]][(sum(T_star[seq_len(t - 1)]) + 1):sum(T_star[seq_len(t)])] + cs_data_raw_t <- data_raw[[1]][[data_column[1]]][chunk] time_series[t, 1] <- controls[["data"]][["merge"]](cs_data_raw_t) } } else { - data <- data_raw[[1]][, ifelse(controls[["data"]][["logreturns"]][1], "logreturns", data_column[i])] + data_col <- ifelse( + controls[["data"]][["logreturns"]][1], + "logreturns", + data_column[1] + ) + data <- data_raw[[1]][, data_col] time_series <- data_raw[[1]][, data_column[1]] } @@ -194,8 +231,9 @@ read_data <- function(controls) { if (controls[["hierarchy"]]) { dates <- matrix(NA_real_, nrow = T, ncol = max(T_star) + 1) for (t in seq_len(T)) { + chunk <- (sum(T_star[seq_len(t - 1)]) + 1):sum(T_star[seq_len(t)]) dates[t, -1] <- c( - data_raw[[2]][[date_column[2]]][(sum(T_star[seq_len(t - 1)]) + 1):sum(T_star[seq_len(t)])], + data_raw[[2]][[date_column[2]]][chunk], rep(NA_real_, max(T_star) - T_star[t]) ) } diff --git a/R/reorder_states.R b/R/reorder_states.R index 1eb5a12e..fa94cc7b 100644 --- a/R/reorder_states.R +++ b/R/reorder_states.R @@ -17,8 +17,8 @@ #' values from \code{1} to \code{x$data$controls$states}. If the old #' state number \code{x} should be the new state number \code{y}, put #' the value \code{x} at the position \code{y} of \code{state_order}. -#' E.g. for a 2-state HMM, specifying \code{state_order = c(2, 1)} swaps -#' the states. +#' E.g. for a 2-state HMM, specifying +#' \code{state_order = c(2, 1)} swaps the states. #' \item If \code{x$data$controls$hierarchy = TRUE}, \code{state_order} must #' be a matrix of dimension \code{x$data$controls$states[1]} x #' \code{x$data$controls$states[2] + 1}. The first column orders the @@ -26,8 +26,8 @@ #' the elements from second to last position order the fine-scale states #' of the coarse-scale state specified by the first element. E.g. for an #' HHMM with 2 coarse-scale and 2 fine-scale states, specifying -#' \code{state_order = matrix(c(2, 1, 2, 1, 1, 2), 2, 3)} swaps the -#' coarse-scale states and the fine-scale states connected to +#' \code{state_order = matrix(c(2, 1, 2, 1, 1, 2), 2, 3)} +#' swaps the coarse-scale states and the fine-scale states connected to #' coarse-scale state 2. #' } #' @@ -42,7 +42,7 @@ reorder_states <- function(x, state_order = "mean") { ### check inputs - if (!inherits(x,"fHMM_model")) { + if (!inherits(x, "fHMM_model")) { stop("'x' is not of class 'fHMM_model'.", call. = FALSE) } if (identical(state_order, "mean")) { @@ -63,17 +63,27 @@ reorder_states <- function(x, state_order = "mean") { if (!(is.numeric(state_order) && length(state_order) == x$data$controls$states && all(state_order %in% 1:x$data$controls$states))) { - stop("'state_order' is missspecified, please check the documentation.", call. = FALSE) + stop( + "'state_order' is misspecified, please check the documentation.", + call. = FALSE + ) } state_order <- as.matrix(state_order) } else { if (!(is.numeric(state_order) && is.matrix(state_order) && all(dim(state_order) == x$data$controls$states + c(0, 1)) && all(state_order[1, ] %in% 1:x$data$controls$states[1]) && - all(sapply(1:x$data$controls$states[2], - function(col) 1:x$data$controls$states[2] %in% state_order[col,-1]))) + all(sapply( + 1:x$data$controls$states[2], + function(col) { + 1:x$data$controls$states[2] %in% state_order[col, -1] + } + ))) ) { - stop("'state_order' is missspecified, please check the documentation.", call. = FALSE) + stop( + "'state_order' is misspecified, please check the documentation.", + call. = FALSE + ) } } } @@ -99,7 +109,10 @@ reorder_states <- function(x, state_order = "mean") { par$df_star <- par$df_star[state_order[, 1]] } for (s in state_order[, 1]) { - permut <- diag(x$data$controls$states[2])[state_order[which(state_order[, 1] == s), -1], ] + state_order_s <- which(state_order[, 1] == s) + permut <- diag(x$data$controls$states[2])[ + state_order[state_order_s, -1], + ] par$Gamma_star[[s]] <- permut %*% par$Gamma_star[[s]] %*% t(permut) par$mu_star[[s]] <- as.vector(permut %*% par$mu_star[[s]]) if (x$data$controls$sdds[[2]]$name != "poisson") { @@ -127,6 +140,6 @@ reorder_states <- function(x, state_order = "mean") { x <- compute_residuals(x, verbose = FALSE) } - ### return reorderd 'fHMM_model' + ### return reordered 'fHMM_model' return(x) } diff --git a/README.Rmd b/README.Rmd index 93b2ff56..4f649508 100644 --- a/README.Rmd +++ b/README.Rmd @@ -54,7 +54,7 @@ We are open to contributions and would appreciate your input: - If you have any ideas for new features, please submit them as [feature requests](https://github.com/loelschlaeger/fHMM/issues/new?assignees=&labels=future&template=suggestion.md). -- If you would like to add extensions to the package, please fork the `master` branch and submit a merge request. +- If you would like to add extensions to the package, please fork the `master` branch and submit a pull request. ## Example: Fitting an HMM to the DAX @@ -64,7 +64,7 @@ We fit a 3-state HMM with state-dependent t-distributions to the DAX log-returns library("fHMM") ``` -The package has a build-in function to download financial data from [Yahoo Finance](https://finance.yahoo.com/): +The package has a built-in function to download financial data from [Yahoo Finance](https://finance.yahoo.com/): ```{r data download, eval = FALSE} dax <- download_data(symbol = "^GDAXI") @@ -115,8 +115,14 @@ Having estimated the model, we can visualize the state-dependent distributions a ```{r plot_model_fit, fig.dim = c(10,6)} events <- fHMM_events( - list(dates = c("2001-09-11", "2008-09-15", "2020-01-27"), - labels = c("9/11 terrorist attack", "Bankruptcy Lehman Brothers", "First COVID-19 case Germany")) + list( + dates = c("2001-09-11", "2008-09-15", "2020-01-27"), + labels = c( + "9/11 terrorist attack", + "Bankruptcy Lehman Brothers", + "First COVID-19 case Germany" + ) + ) ) plot(model, plot_type = c("sdds","ts"), events = events) ``` @@ -179,13 +185,14 @@ ll_hmm(parUncon, sim$data, controls, negative = TRUE) ```{r, maximize likelihood} optimization <- nlm( - f = ll_hmm, p = parUncon, observations = sim$data, controls = controls, negative = TRUE + f = ll_hmm, p = parUncon, observations = sim$data, + controls = controls, negative = TRUE ) (estimate <- optimization$estimate) ``` -6. To interpret the estimate, it needs to be back transformed to the constrained parameter space via the `parUncon2par()` function. The state-labeling is not identified. +6. To interpret the estimate, it needs to be back-transformed to the constrained parameter space via the `parUncon2par()` function. The state labeling is not identified. ```{r, backtransform parameters} class(estimate) <- "parUncon" diff --git a/README.md b/README.md index add40955..91ad6e57 100644 --- a/README.md +++ b/README.md @@ -59,7 +59,7 @@ We are open to contributions and would appreciate your input: requests](https://github.com/loelschlaeger/fHMM/issues/new?assignees=&labels=future&template=suggestion.md). - If you would like to add extensions to the package, please fork the - `master` branch and submit a merge request. + `master` branch and submit a pull request. ## Example: Fitting an HMM to the DAX @@ -72,7 +72,7 @@ market state (yellow). library("fHMM") ``` -The package has a build-in function to download financial data from +The package has a built-in function to download financial data from [Yahoo Finance](https://finance.yahoo.com/): ``` r @@ -165,8 +165,14 @@ distributions and the decoded time series: ``` r events <- fHMM_events( - list(dates = c("2001-09-11", "2008-09-15", "2020-01-27"), - labels = c("9/11 terrorist attack", "Bankruptcy Lehman Brothers", "First COVID-19 case Germany")) + list( + dates = c("2001-09-11", "2008-09-15", "2020-01-27"), + labels = c( + "9/11 terrorist attack", + "Bankruptcy Lehman Brothers", + "First COVID-19 case Germany" + ) + ) ) plot(model, plot_type = c("sdds","ts"), events = events) ``` @@ -259,16 +265,17 @@ ll_hmm(parUncon, sim$data, controls, negative = TRUE) ``` r optimization <- nlm( - f = ll_hmm, p = parUncon, observations = sim$data, controls = controls, negative = TRUE + f = ll_hmm, p = parUncon, observations = sim$data, + controls = controls, negative = TRUE ) (estimate <- optimization$estimate) #> [1] -3.46338992 -3.44065582 0.05999848 1.06452907 0.11517811 1.07946252 ``` -6. To interpret the estimate, it needs to be back transformed to the +6. To interpret the estimate, it needs to be back-transformed to the constrained parameter space via the `parUncon2par()` function. The - state-labeling is not identified. + state labeling is not identified. ``` r class(estimate) <- "parUncon" diff --git a/development_packages.R b/development_packages.R deleted file mode 100644 index 07315066..00000000 --- a/development_packages.R +++ /dev/null @@ -1,18 +0,0 @@ -if (!require("covr", quietly = TRUE)) { - renv::install("covr", prompt = FALSE) -} -if (!require("devtools", quietly = TRUE)) { - renv::install("devtools", prompt = FALSE) -} -if (!require("DT", quietly = TRUE)) { - renv::install("DT", prompt = FALSE) -} -if (!require("markdown", quietly = TRUE)) { - renv::install("markdown", prompt = FALSE) -} -if (!require("R.utils", quietly = TRUE)) { - renv::install("R.utils", prompt = FALSE) -} -if (!require("yaml", quietly = TRUE)) { - renv::install("yaml", prompt = FALSE) -} diff --git a/man/compute_ci.Rd b/man/compute_ci.Rd index 0d80e600..09748e59 100644 --- a/man/compute_ci.Rd +++ b/man/compute_ci.Rd @@ -9,7 +9,8 @@ compute_ci(x, alpha = 0.05) \arguments{ \item{x}{An object of class \code{\link{fHMM_model}}.} -\item{alpha}{A \code{numeric} between 0 and 1, the alpha level for the confidence interval. +\item{alpha}{A \code{numeric} between 0 and 1, the alpha level for the confidence +interval. By default, \code{alpha = 0.05}, which computes a 95\% confidence interval.} } \value{ diff --git a/man/dax_model_2n.Rd b/man/dax_model_2n.Rd index cb4b8b4c..aa793b11 100644 --- a/man/dax_model_2n.Rd +++ b/man/dax_model_2n.Rd @@ -13,7 +13,7 @@ data("dax_model_2n") \description{ A pre-computed HMM on closing prices of the DAX from 2000 to 2022 with two hidden states and normal state-dependent distributions for -demonstration purpose. +demonstration purposes. } \details{ The model was estimated via: diff --git a/man/dax_model_3t.Rd b/man/dax_model_3t.Rd index 3a34deb2..80899568 100644 --- a/man/dax_model_3t.Rd +++ b/man/dax_model_3t.Rd @@ -13,7 +13,7 @@ data("dax_model_3t") \description{ A pre-computed HMM on closing prices of the DAX from 2000 to 2022 with three hidden states and state-dependent t-distributions for -demonstration purpose. +demonstration purposes. } \details{ The model was estimated via: diff --git a/man/dax_vw_model.Rd b/man/dax_vw_model.Rd index 3e898a50..83c825e4 100644 --- a/man/dax_vw_model.Rd +++ b/man/dax_vw_model.Rd @@ -14,7 +14,7 @@ data("dax_vw_model") A pre-computed HHMM with monthly averaged closing prices of the DAX from 2010 to 2022 on the coarse scale, Volkswagen AG stock data on the fine scale, two hidden fine-scale and coarse-scale states, respectively, and -state-dependent t-distributions for demonstration purpose. +state-dependent t-distributions for demonstration purposes. } \details{ The model was estimated via: diff --git a/man/decode_states.Rd b/man/decode_states.Rd index 854f13f5..6fd10b60 100644 --- a/man/decode_states.Rd +++ b/man/decode_states.Rd @@ -35,12 +35,14 @@ distribution in the different states of length \code{nstates}. For the gamma- or Poisson-distribution, \code{mu} must be positive.} \item{sigma}{A positive \code{numeric} vector of standard deviations for the -state-dependent distribution in the different states of length \code{nstates}. +state-dependent distribution in the different states of length +\code{nstates}. Not relevant in case of a state-dependent Poisson distribution.} \item{df}{A positive \code{numeric} vector of degrees of freedom for the -state-dependent distribution in the different states of length \code{nstates}. +state-dependent distribution in the different states of length +\code{nstates}. Only relevant in case of a state-dependent t-distribution.} } diff --git a/man/fHMM_colors.Rd b/man/fHMM_colors.Rd index 0fd5b97d..c38c4ebd 100644 --- a/man/fHMM_colors.Rd +++ b/man/fHMM_colors.Rd @@ -20,8 +20,10 @@ An object of class \code{fHMM_colors}, which is: length \code{controls$states} of color codes, \item for \code{controls$hierarchy == TRUE} a \code{list} of \itemize{ -\item a \code{character} vector of length \code{controls$states[1]} and -\item a \code{character} matrix of dimensions \code{controls$states} +\item a \code{character} vector of length +\code{controls$states[1]} and +\item a \code{character} matrix of dimensions +\code{controls$states} } with color codes. } diff --git a/man/fHMM_data.Rd b/man/fHMM_data.Rd index f21f1f6d..472c2729 100644 --- a/man/fHMM_data.Rd +++ b/man/fHMM_data.Rd @@ -50,7 +50,8 @@ the following elements: \itemize{ \item The \code{matrix} of the \code{dates} if \code{simulated = FALSE} and \code{controls$data$data_column} is specified, -\item the \code{matrix} of the \code{time_points} if \code{simulated = TRUE} +\item the \code{matrix} of the \code{time_points} if +\code{simulated = TRUE} or \code{controls$data$data_column} is not specified, \item the \code{matrix} of the simulated \code{markov_chain} if \code{simulated = TRUE}, diff --git a/man/fHMM_parameters.Rd b/man/fHMM_parameters.Rd index ec04e487..643d7fe7 100644 --- a/man/fHMM_parameters.Rd +++ b/man/fHMM_parameters.Rd @@ -153,8 +153,8 @@ This function sets and checks model parameters. Unspecified parameters are sampled. } \details{ -See the \href{https://loelschlaeger.de/fHMM/articles/}{vignette on the model definition} -for more details. +See the package vignettes at \url{https://loelschlaeger.de/fHMM/articles/} +for details. } \examples{ parameters <- fHMM_parameters(states = 2, sdds = "normal") diff --git a/man/fit_model.Rd b/man/fit_model.Rd index 7925e3b5..83331d65 100644 --- a/man/fit_model.Rd +++ b/man/fit_model.Rd @@ -83,8 +83,8 @@ accepted based on the output code of \code{\link[stats]{nlm}}. By default, \code{accept = 1:3}.} -\item{gradtol}{A positive \code{numeric} value, specifying the gradient tolerance, passed on -to \code{\link[stats]{nlm}}. +\item{gradtol}{A positive \code{numeric} value, specifying the gradient tolerance, passed +on to \code{\link[stats]{nlm}}. By default, \code{gradtol = 0.01}.} @@ -101,7 +101,7 @@ By default, \code{print.level = 0}.} \item{steptol}{A positive \code{numeric} value, specifying the step tolerance, passed on to \code{\link[stats]{nlm}}. -By default, \code{gradtol = 0.01}.} +By default, \code{steptol = 0.01}.} \item{ncluster}{Set the number of clusters for parallel optimization runs to reduce optimization time. diff --git a/man/ll_hmm.Rd b/man/ll_hmm.Rd index 0af1c867..04a21abf 100644 --- a/man/ll_hmm.Rd +++ b/man/ll_hmm.Rd @@ -23,7 +23,8 @@ with identified and unconstrained model parameters in the following order: \item expectations \code{muUncon} \item standard deviations \code{sigmaUncon} (if any) \item degrees of freedom \code{dfUncon} (if any) -\item fine-scale parameters for each coarse-scale state, in the same order (if any) +\item fine-scale parameters for each coarse-scale state, in the same order +(if any) }} \item{observations}{A \code{numeric} \code{vector} of time-series data. diff --git a/man/parameter_transformations.Rd b/man/parameter_transformations.Rd index 8b93785a..a54ab1b2 100644 --- a/man/parameter_transformations.Rd +++ b/man/parameter_transformations.Rd @@ -138,7 +138,8 @@ with identified and unconstrained model parameters in the following order: \item expectations \code{muUncon} \item standard deviations \code{sigmaUncon} (if any) \item degrees of freedom \code{dfUncon} (if any) -\item fine-scale parameters for each coarse-scale state, in the same order (if any) +\item fine-scale parameters for each coarse-scale state, in the same order +(if any) }} \item{numerical_safeguard}{Either \code{TRUE} or \code{FALSE}, determining whether to apply the @@ -157,7 +158,8 @@ with identified (and constrained) model parameters in the following order: \item expectations \code{muCon} \item standard deviations \code{sigmaCon} (if any) \item degrees of freedom \code{dfCon} (if any) -\item fine-scale parameters for each coarse-scale state, in the same order (if any) +\item fine-scale parameters for each coarse-scale state, in the same order +(if any) }} \item{muCon, muUncon}{A vector of (un-) constrained expected values.} diff --git a/man/read_data.Rd b/man/read_data.Rd index 45933867..03e23611 100644 --- a/man/read_data.Rd +++ b/man/read_data.Rd @@ -12,9 +12,11 @@ read_data(controls) \value{ A \code{list} containing the following elements: \itemize{ -\item the \code{matrix} of the \code{dates} if \code{controls$simulated = FALSE} +\item the \code{matrix} of the \code{dates} if +\code{controls$simulated = FALSE} and \code{controls$data$data_column} is specified, -\item the \code{matrix} of the \code{time_points} if \code{controls$simulated = TRUE} +\item the \code{matrix} of the \code{time_points} if +\code{controls$simulated = TRUE} or \code{controls$data$data_column} is not specified, \item the \code{matrix} of the empirical \code{data} used for estimation, \item the \code{matrix} named \code{time_series} of empirical data before diff --git a/man/reorder_states.Rd b/man/reorder_states.Rd index 3a0eb2ac..946d3086 100644 --- a/man/reorder_states.Rd +++ b/man/reorder_states.Rd @@ -20,8 +20,8 @@ be a vector of length \code{x$data$controls$states} with integer values from \code{1} to \code{x$data$controls$states}. If the old state number \code{x} should be the new state number \code{y}, put the value \code{x} at the position \code{y} of \code{state_order}. -E.g. for a 2-state HMM, specifying \code{state_order = c(2, 1)} swaps -the states. +E.g. for a 2-state HMM, specifying +\code{state_order = c(2, 1)} swaps the states. \item If \code{x$data$controls$hierarchy = TRUE}, \code{state_order} must be a matrix of dimension \code{x$data$controls$states[1]} x \code{x$data$controls$states[2] + 1}. The first column orders the @@ -29,8 +29,8 @@ coarse-scale states with the logic as described above. For each row, the elements from second to last position order the fine-scale states of the coarse-scale state specified by the first element. E.g. for an HHMM with 2 coarse-scale and 2 fine-scale states, specifying -\code{state_order = matrix(c(2, 1, 2, 1, 1, 2), 2, 3)} swaps the -coarse-scale states and the fine-scale states connected to +\code{state_order = matrix(c(2, 1, 2, 1, 1, 2), 2, 3)} +swaps the coarse-scale states and the fine-scale states connected to coarse-scale state 2. } }} diff --git a/man/set_controls.Rd b/man/set_controls.Rd index 337d799f..0b7b003a 100644 --- a/man/set_controls.Rd +++ b/man/set_controls.Rd @@ -248,8 +248,8 @@ accepted based on the output code of \code{\link[stats]{nlm}}. By default, \code{accept = 1:3}.} -\item{gradtol}{A positive \code{numeric} value, specifying the gradient tolerance, passed on -to \code{\link[stats]{nlm}}. +\item{gradtol}{A positive \code{numeric} value, specifying the gradient tolerance, passed +on to \code{\link[stats]{nlm}}. By default, \code{gradtol = 0.01}.} @@ -266,7 +266,7 @@ By default, \code{print.level = 0}.} \item{steptol}{A positive \code{numeric} value, specifying the step tolerance, passed on to \code{\link[stats]{nlm}}. -By default, \code{gradtol = 0.01}.} +By default, \code{steptol = 0.01}.} \item{x, object}{An object of class \code{fHMM_controls}.} @@ -305,7 +305,7 @@ set_controls( hierarchy = TRUE, # defines a hierarchy states = c(3, 2), # coarse scale and fine scale states sdds = c("gamma", "poisson"), # distributions for both layers - horizon = c(100, NA), # 100 simulated coarse-scale data points + horizon = c(100, NA), # 100 coarse-scale data points period = "m" # monthly simulated fine-scale data ) diff --git a/man/unemp_spx_model_3_2.Rd b/man/unemp_spx_model_3_2.Rd index f441a7df..389b550a 100644 --- a/man/unemp_spx_model_3_2.Rd +++ b/man/unemp_spx_model_3_2.Rd @@ -13,7 +13,7 @@ data("unemp_spx_model_3_2") \description{ A pre-computed HHMM with monthly unemployment rate in the US on the coarse scale using 3 states and S&P 500 index data on the fine scale using 2 states -from 1970 to 2020 for demonstration purpose. +from 1970 to 2020 for demonstration purposes. } \details{ The model was estimated via: diff --git a/renv.lock b/renv.lock deleted file mode 100644 index aa853fd7..00000000 --- a/renv.lock +++ /dev/null @@ -1,6008 +0,0 @@ -{ - "R": { - "Version": "4.4.0", - "Repositories": [ - { - "Name": "CRAN", - "URL": "http://cran.rstudio.com" - } - ] - }, - "Packages": { - "BB": { - "Package": "BB", - "Version": "2019.10-1", - "Source": "Repository", - "Title": "Solving and Optimizing Large-Scale Nonlinear Systems", - "Description": "Barzilai-Borwein spectral methods for solving nonlinear system of equations, and for optimizing nonlinear objective functions subject to simple constraints. A tutorial style introduction to this package is available in a vignette on the CRAN download page or, when the package is loaded in an R session, with vignette(\"BB\").", - "Depends": [ - "R (>= 2.6.1)" - ], - "Imports": [ - "stats", - "quadprog" - ], - "Suggests": [ - "setRNG", - "survival", - "Hmisc", - "numDeriv" - ], - "BuildVignettes": "true", - "LazyLoad": "yes", - "ByteCompile": "yes", - "License": "GPL-3", - "Authors@R": "c( person(\"Ravi\", \"Varadhan\", role=c(\"aut\",\"cph\",\"trl\"), email=\"rvaradhan@jhmi.edu\"), person(\"Paul\", \"Gilbert\", role=c(\"aut\",\"cre\"), email=\"pgilbert.ttv9z@ncf.ca\"), person(\"Marcos\", \"Raydan\", role=\"ctb\", comment=\"with co-authors, wrote original algorithms in fortran. These provided some guidance for implementing R code in the BB package.\"), person(\"JM\", \"Martinez\", role=\"ctb\", comment=\"with co-authors, wrote original algorithms in fortran. These provided some guidance for implementing R code in the BB package.\"), person(\"EG\", \"Birgin\", role=\"ctb\", comment=\"with co-authors, wrote original algorithms in fortran. These provided some guidance for implementing R code in the BB package.\"), person(\"W\", \"LaCruz\", role=\"ctb\", comment=\"with co-authors, wrote original algorithms in fortran. These provided some guidance for implementing R code in the BB package.\") )", - "Copyright": "2008-2020, Ravi Varadhan", - "URL": "http://www.jhsph.edu/agingandhealth/People/Faculty_personal_pages/Varadhan.html", - "NeedsCompilation": "no", - "Author": "Ravi Varadhan [aut, cph, trl], Paul Gilbert [aut, cre], Marcos Raydan [ctb] (with co-authors, wrote original algorithms in fortran. These provided some guidance for implementing R code in the BB package.), JM Martinez [ctb] (with co-authors, wrote original algorithms in fortran. These provided some guidance for implementing R code in the BB package.), EG Birgin [ctb] (with co-authors, wrote original algorithms in fortran. These provided some guidance for implementing R code in the BB package.), W LaCruz [ctb] (with co-authors, wrote original algorithms in fortran. These provided some guidance for implementing R code in the BB package.)", - "Maintainer": "Paul Gilbert ", - "Repository": "CRAN" - }, - "DT": { - "Package": "DT", - "Version": "0.33", - "Source": "Repository", - "Type": "Package", - "Title": "A Wrapper of the JavaScript Library 'DataTables'", - "Authors@R": "c( person(\"Yihui\", \"Xie\", role = \"aut\"), person(\"Joe\", \"Cheng\", email = \"joe@posit.co\", role = c(\"aut\", \"cre\")), person(\"Xianying\", \"Tan\", role = \"aut\"), person(\"JJ\", \"Allaire\", role = \"ctb\"), person(\"Maximilian\", \"Girlich\", role = \"ctb\"), person(\"Greg\", \"Freedman Ellis\", role = \"ctb\"), person(\"Johannes\", \"Rauh\", role = \"ctb\"), person(\"SpryMedia Limited\", role = c(\"ctb\", \"cph\"), comment = \"DataTables in htmlwidgets/lib\"), person(\"Brian\", \"Reavis\", role = c(\"ctb\", \"cph\"), comment = \"selectize.js in htmlwidgets/lib\"), person(\"Leon\", \"Gersen\", role = c(\"ctb\", \"cph\"), comment = \"noUiSlider in htmlwidgets/lib\"), person(\"Bartek\", \"Szopka\", role = c(\"ctb\", \"cph\"), comment = \"jquery.highlight.js in htmlwidgets/lib\"), person(\"Alex\", \"Pickering\", role = c(\"ctb\")), person(\"William\", \"Holmes\", role = c(\"ctb\")), person(\"Mikko\", \"Marttila\", role = c(\"ctb\")), person(\"Andres\", \"Quintero\", role = c(\"ctb\")), person(\"Stéphane\", \"Laurent\", role = c(\"ctb\")), person(given = \"Posit Software, PBC\", role = c(\"cph\", \"fnd\")) )", - "Description": "Data objects in R can be rendered as HTML tables using the JavaScript library 'DataTables' (typically via R Markdown or Shiny). The 'DataTables' library has been included in this R package. The package name 'DT' is an abbreviation of 'DataTables'.", - "URL": "https://github.com/rstudio/DT", - "BugReports": "https://github.com/rstudio/DT/issues", - "License": "GPL-3 | file LICENSE", - "Imports": [ - "htmltools (>= 0.3.6)", - "htmlwidgets (>= 1.3)", - "httpuv", - "jsonlite (>= 0.9.16)", - "magrittr", - "crosstalk", - "jquerylib", - "promises" - ], - "Suggests": [ - "knitr (>= 1.8)", - "rmarkdown", - "shiny (>= 1.6)", - "bslib", - "future", - "testit", - "tibble" - ], - "VignetteBuilder": "knitr", - "RoxygenNote": "7.3.1", - "Encoding": "UTF-8", - "NeedsCompilation": "no", - "Author": "Yihui Xie [aut], Joe Cheng [aut, cre], Xianying Tan [aut], JJ Allaire [ctb], Maximilian Girlich [ctb], Greg Freedman Ellis [ctb], Johannes Rauh [ctb], SpryMedia Limited [ctb, cph] (DataTables in htmlwidgets/lib), Brian Reavis [ctb, cph] (selectize.js in htmlwidgets/lib), Leon Gersen [ctb, cph] (noUiSlider in htmlwidgets/lib), Bartek Szopka [ctb, cph] (jquery.highlight.js in htmlwidgets/lib), Alex Pickering [ctb], William Holmes [ctb], Mikko Marttila [ctb], Andres Quintero [ctb], Stéphane Laurent [ctb], Posit Software, PBC [cph, fnd]", - "Maintainer": "Joe Cheng ", - "Repository": "CRAN" - }, - "GPArotation": { - "Package": "GPArotation", - "Version": "2025.3-1", - "Source": "Repository", - "Title": "Gradient Projection Factor Rotation", - "Authors@R": "c( person(\"Coen\", \"Bernaards\", email = \"cab.gparotation@gmail.com\", role = c(\"aut\",\"cre\")), person(\"Paul\", \"Gilbert\", email = \"pgilbert.ttv9z@ncf.ca\", role = \"aut\"), person(\"Robert\", \"Jennrich\", role = \"aut\") )", - "Depends": [ - "R (>= 2.0.0)" - ], - "Description": "Gradient Projection Algorithms for Factor Rotation. For details see ?GPArotation. When using this package, please cite Bernaards and Jennrich (2005) 'Gradient Projection Algorithms and Software for Arbitrary Rotation Criteria in Factor Analysis'.", - "LazyData": "yes", - "Imports": [ - "stats" - ], - "License": "GPL (>= 2)", - "URL": "https://optimizer.r-forge.r-project.org/GPArotation_www/", - "NeedsCompilation": "no", - "Author": "Coen Bernaards [aut, cre], Paul Gilbert [aut], Robert Jennrich [aut]", - "Maintainer": "Coen Bernaards ", - "Repository": "CRAN" - }, - "GenOrd": { - "Package": "GenOrd", - "Version": "1.4.0", - "Source": "Repository", - "Type": "Package", - "Title": "Simulation of Discrete Random Variables with Given Correlation Matrix and Marginal Distributions", - "Date": "2015-09-11", - "Author": "Alessandro Barbiero, Pier Alda Ferrari", - "Maintainer": "Alessandro Barbiero ", - "Description": "A gaussian copula based procedure for generating samples from discrete random variables with prescribed correlation matrix and marginal distributions.", - "License": "GPL", - "LazyLoad": "yes", - "Depends": [ - "mvtnorm", - "Matrix", - "MASS", - "stats" - ], - "NeedsCompilation": "no", - "Repository": "CRAN" - }, - "MASS": { - "Package": "MASS", - "Version": "7.3-65", - "Source": "Repository", - "Priority": "recommended", - "Date": "2025-02-19", - "Revision": "$Rev: 3681 $", - "Depends": [ - "R (>= 4.4.0)", - "grDevices", - "graphics", - "stats", - "utils" - ], - "Imports": [ - "methods" - ], - "Suggests": [ - "lattice", - "nlme", - "nnet", - "survival" - ], - "Authors@R": "c(person(\"Brian\", \"Ripley\", role = c(\"aut\", \"cre\", \"cph\"), email = \"Brian.Ripley@R-project.org\"), person(\"Bill\", \"Venables\", role = c(\"aut\", \"cph\")), person(c(\"Douglas\", \"M.\"), \"Bates\", role = \"ctb\"), person(\"Kurt\", \"Hornik\", role = \"trl\", comment = \"partial port ca 1998\"), person(\"Albrecht\", \"Gebhardt\", role = \"trl\", comment = \"partial port ca 1998\"), person(\"David\", \"Firth\", role = \"ctb\", comment = \"support functions for polr\"))", - "Description": "Functions and datasets to support Venables and Ripley, \"Modern Applied Statistics with S\" (4th edition, 2002).", - "Title": "Support Functions and Datasets for Venables and Ripley's MASS", - "LazyData": "yes", - "ByteCompile": "yes", - "License": "GPL-2 | GPL-3", - "URL": "http://www.stats.ox.ac.uk/pub/MASS4/", - "Contact": "", - "NeedsCompilation": "yes", - "Author": "Brian Ripley [aut, cre, cph], Bill Venables [aut, cph], Douglas M. Bates [ctb], Kurt Hornik [trl] (partial port ca 1998), Albrecht Gebhardt [trl] (partial port ca 1998), David Firth [ctb] (support functions for polr)", - "Maintainer": "Brian Ripley ", - "Repository": "CRAN" - }, - "Matrix": { - "Package": "Matrix", - "Version": "1.7-3", - "Source": "Repository", - "VersionNote": "do also bump src/version.h, inst/include/Matrix/version.h", - "Date": "2025-03-05", - "Priority": "recommended", - "Title": "Sparse and Dense Matrix Classes and Methods", - "Description": "A rich hierarchy of sparse and dense matrix classes, including general, symmetric, triangular, and diagonal matrices with numeric, logical, or pattern entries. Efficient methods for operating on such matrices, often wrapping the 'BLAS', 'LAPACK', and 'SuiteSparse' libraries.", - "License": "GPL (>= 2) | file LICENCE", - "URL": "https://Matrix.R-forge.R-project.org", - "BugReports": "https://R-forge.R-project.org/tracker/?atid=294&group_id=61", - "Contact": "Matrix-authors@R-project.org", - "Authors@R": "c(person(\"Douglas\", \"Bates\", role = \"aut\", comment = c(ORCID = \"0000-0001-8316-9503\")), person(\"Martin\", \"Maechler\", role = c(\"aut\", \"cre\"), email = \"mmaechler+Matrix@gmail.com\", comment = c(ORCID = \"0000-0002-8685-9910\")), person(\"Mikael\", \"Jagan\", role = \"aut\", comment = c(ORCID = \"0000-0002-3542-2938\")), person(\"Timothy A.\", \"Davis\", role = \"ctb\", comment = c(ORCID = \"0000-0001-7614-6899\", \"SuiteSparse libraries\", \"collaborators listed in dir(system.file(\\\"doc\\\", \\\"SuiteSparse\\\", package=\\\"Matrix\\\"), pattern=\\\"License\\\", full.names=TRUE, recursive=TRUE)\")), person(\"George\", \"Karypis\", role = \"ctb\", comment = c(ORCID = \"0000-0003-2753-1437\", \"METIS library\", \"Copyright: Regents of the University of Minnesota\")), person(\"Jason\", \"Riedy\", role = \"ctb\", comment = c(ORCID = \"0000-0002-4345-4200\", \"GNU Octave's condest() and onenormest()\", \"Copyright: Regents of the University of California\")), person(\"Jens\", \"Oehlschlägel\", role = \"ctb\", comment = \"initial nearPD()\"), person(\"R Core Team\", role = \"ctb\", comment = c(ROR = \"02zz1nj61\", \"base R's matrix implementation\")))", - "Depends": [ - "R (>= 4.4)", - "methods" - ], - "Imports": [ - "grDevices", - "graphics", - "grid", - "lattice", - "stats", - "utils" - ], - "Suggests": [ - "MASS", - "datasets", - "sfsmisc", - "tools" - ], - "Enhances": [ - "SparseM", - "graph" - ], - "LazyData": "no", - "LazyDataNote": "not possible, since we use data/*.R and our S4 classes", - "BuildResaveData": "no", - "Encoding": "UTF-8", - "NeedsCompilation": "yes", - "Author": "Douglas Bates [aut] (), Martin Maechler [aut, cre] (), Mikael Jagan [aut] (), Timothy A. Davis [ctb] (, SuiteSparse libraries, collaborators listed in dir(system.file(\"doc\", \"SuiteSparse\", package=\"Matrix\"), pattern=\"License\", full.names=TRUE, recursive=TRUE)), George Karypis [ctb] (, METIS library, Copyright: Regents of the University of Minnesota), Jason Riedy [ctb] (, GNU Octave's condest() and onenormest(), Copyright: Regents of the University of California), Jens Oehlschlägel [ctb] (initial nearPD()), R Core Team [ctb] (02zz1nj61, base R's matrix implementation)", - "Maintainer": "Martin Maechler ", - "Repository": "CRAN" - }, - "R.methodsS3": { - "Package": "R.methodsS3", - "Version": "1.8.2", - "Source": "Repository", - "Depends": [ - "R (>= 2.13.0)" - ], - "Imports": [ - "utils" - ], - "Suggests": [ - "codetools" - ], - "Title": "S3 Methods Simplified", - "Authors@R": "c(person(\"Henrik\", \"Bengtsson\", role=c(\"aut\", \"cre\", \"cph\"), email = \"henrikb@braju.com\"))", - "Author": "Henrik Bengtsson [aut, cre, cph]", - "Maintainer": "Henrik Bengtsson ", - "Description": "Methods that simplify the setup of S3 generic functions and S3 methods. Major effort has been made in making definition of methods as simple as possible with a minimum of maintenance for package developers. For example, generic functions are created automatically, if missing, and naming conflict are automatically solved, if possible. The method setMethodS3() is a good start for those who in the future may want to migrate to S4. This is a cross-platform package implemented in pure R that generates standard S3 methods.", - "License": "LGPL (>= 2.1)", - "LazyLoad": "TRUE", - "URL": "https://github.com/HenrikBengtsson/R.methodsS3", - "BugReports": "https://github.com/HenrikBengtsson/R.methodsS3/issues", - "NeedsCompilation": "no", - "Repository": "CRAN" - }, - "R.oo": { - "Package": "R.oo", - "Version": "1.27.1", - "Source": "Repository", - "Depends": [ - "R (>= 2.13.0)", - "R.methodsS3 (>= 1.8.2)" - ], - "Imports": [ - "methods", - "utils" - ], - "Suggests": [ - "tools" - ], - "Title": "R Object-Oriented Programming with or without References", - "Authors@R": "c(person(\"Henrik\", \"Bengtsson\", role=c(\"aut\", \"cre\", \"cph\"), email = \"henrikb@braju.com\"))", - "Author": "Henrik Bengtsson [aut, cre, cph]", - "Maintainer": "Henrik Bengtsson ", - "Description": "Methods and classes for object-oriented programming in R with or without references. Large effort has been made on making definition of methods as simple as possible with a minimum of maintenance for package developers. The package has been developed since 2001 and is now considered very stable. This is a cross-platform package implemented in pure R that defines standard S3 classes without any tricks.", - "License": "LGPL (>= 2.1)", - "LazyLoad": "TRUE", - "URL": "https://henrikbengtsson.github.io/R.oo/, https://github.com/HenrikBengtsson/R.oo", - "BugReports": "https://github.com/HenrikBengtsson/R.oo/issues", - "NeedsCompilation": "no", - "Repository": "CRAN" - }, - "R.utils": { - "Package": "R.utils", - "Version": "2.13.0", - "Source": "Repository", - "Depends": [ - "R (>= 2.14.0)", - "R.oo" - ], - "Imports": [ - "methods", - "utils", - "tools", - "R.methodsS3" - ], - "Suggests": [ - "datasets", - "digest (>= 0.6.10)" - ], - "Title": "Various Programming Utilities", - "Authors@R": "c(person(\"Henrik\", \"Bengtsson\", role=c(\"aut\", \"cre\", \"cph\"), email = \"henrikb@braju.com\"))", - "Author": "Henrik Bengtsson [aut, cre, cph]", - "Maintainer": "Henrik Bengtsson ", - "Description": "Utility functions useful when programming and developing R packages.", - "License": "LGPL (>= 2.1)", - "LazyLoad": "TRUE", - "URL": "https://henrikbengtsson.github.io/R.utils/, https://github.com/HenrikBengtsson/R.utils", - "BugReports": "https://github.com/HenrikBengtsson/R.utils/issues", - "NeedsCompilation": "no", - "Repository": "CRAN" - }, - "R6": { - "Package": "R6", - "Version": "2.6.1", - "Source": "Repository", - "Title": "Encapsulated Classes with Reference Semantics", - "Authors@R": "c( person(\"Winston\", \"Chang\", , \"winston@posit.co\", role = c(\"aut\", \"cre\")), person(\"Posit Software, PBC\", role = c(\"cph\", \"fnd\")) )", - "Description": "Creates classes with reference semantics, similar to R's built-in reference classes. Compared to reference classes, R6 classes are simpler and lighter-weight, and they are not built on S4 classes so they do not require the methods package. These classes allow public and private members, and they support inheritance, even when the classes are defined in different packages.", - "License": "MIT + file LICENSE", - "URL": "https://r6.r-lib.org, https://github.com/r-lib/R6", - "BugReports": "https://github.com/r-lib/R6/issues", - "Depends": [ - "R (>= 3.6)" - ], - "Suggests": [ - "lobstr", - "testthat (>= 3.0.0)" - ], - "Config/Needs/website": "tidyverse/tidytemplate, ggplot2, microbenchmark, scales", - "Config/testthat/edition": "3", - "Encoding": "UTF-8", - "RoxygenNote": "7.3.2", - "NeedsCompilation": "no", - "Author": "Winston Chang [aut, cre], Posit Software, PBC [cph, fnd]", - "Maintainer": "Winston Chang ", - "Repository": "CRAN" - }, - "RColorBrewer": { - "Package": "RColorBrewer", - "Version": "1.1-3", - "Source": "Repository", - "Date": "2022-04-03", - "Title": "ColorBrewer Palettes", - "Authors@R": "c(person(given = \"Erich\", family = \"Neuwirth\", role = c(\"aut\", \"cre\"), email = \"erich.neuwirth@univie.ac.at\"))", - "Author": "Erich Neuwirth [aut, cre]", - "Maintainer": "Erich Neuwirth ", - "Depends": [ - "R (>= 2.0.0)" - ], - "Description": "Provides color schemes for maps (and other graphics) designed by Cynthia Brewer as described at http://colorbrewer2.org.", - "License": "Apache License 2.0", - "NeedsCompilation": "no", - "Repository": "CRAN" - }, - "Rcpp": { - "Package": "Rcpp", - "Version": "1.0.14", - "Source": "Repository", - "Title": "Seamless R and C++ Integration", - "Date": "2025-01-11", - "Authors@R": "c(person(\"Dirk\", \"Eddelbuettel\", role = c(\"aut\", \"cre\"), email = \"edd@debian.org\", comment = c(ORCID = \"0000-0001-6419-907X\")), person(\"Romain\", \"Francois\", role = \"aut\", comment = c(ORCID = \"0000-0002-2444-4226\")), person(\"JJ\", \"Allaire\", role = \"aut\", comment = c(ORCID = \"0000-0003-0174-9868\")), person(\"Kevin\", \"Ushey\", role = \"aut\", comment = c(ORCID = \"0000-0003-2880-7407\")), person(\"Qiang\", \"Kou\", role = \"aut\", comment = c(ORCID = \"0000-0001-6786-5453\")), person(\"Nathan\", \"Russell\", role = \"aut\"), person(\"Iñaki\", \"Ucar\", role = \"aut\", comment = c(ORCID = \"0000-0001-6403-5550\")), person(\"Doug\", \"Bates\", role = \"aut\", comment = c(ORCID = \"0000-0001-8316-9503\")), person(\"John\", \"Chambers\", role = \"aut\"))", - "Description": "The 'Rcpp' package provides R functions as well as C++ classes which offer a seamless integration of R and C++. Many R data types and objects can be mapped back and forth to C++ equivalents which facilitates both writing of new code as well as easier integration of third-party libraries. Documentation about 'Rcpp' is provided by several vignettes included in this package, via the 'Rcpp Gallery' site at , the paper by Eddelbuettel and Francois (2011, ), the book by Eddelbuettel (2013, ) and the paper by Eddelbuettel and Balamuta (2018, ); see 'citation(\"Rcpp\")' for details.", - "Imports": [ - "methods", - "utils" - ], - "Suggests": [ - "tinytest", - "inline", - "rbenchmark", - "pkgKitten (>= 0.1.2)" - ], - "URL": "https://www.rcpp.org, https://dirk.eddelbuettel.com/code/rcpp.html, https://github.com/RcppCore/Rcpp", - "License": "GPL (>= 2)", - "BugReports": "https://github.com/RcppCore/Rcpp/issues", - "MailingList": "rcpp-devel@lists.r-forge.r-project.org", - "RoxygenNote": "6.1.1", - "Encoding": "UTF-8", - "NeedsCompilation": "yes", - "Author": "Dirk Eddelbuettel [aut, cre] (), Romain Francois [aut] (), JJ Allaire [aut] (), Kevin Ushey [aut] (), Qiang Kou [aut] (), Nathan Russell [aut], Iñaki Ucar [aut] (), Doug Bates [aut] (), John Chambers [aut]", - "Maintainer": "Dirk Eddelbuettel ", - "Repository": "CRAN" - }, - "RcppArmadillo": { - "Package": "RcppArmadillo", - "Version": "14.4.2-1", - "Source": "Repository", - "Type": "Package", - "Title": "'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library", - "Date": "2025-04-25", - "Authors@R": "c(person(\"Dirk\", \"Eddelbuettel\", role = c(\"aut\", \"cre\"), email = \"edd@debian.org\", comment = c(ORCID = \"0000-0001-6419-907X\")), person(\"Romain\", \"Francois\", role = \"aut\", comment = c(ORCID = \"0000-0002-2444-4226\")), person(\"Doug\", \"Bates\", role = \"aut\", comment = c(ORCID = \"0000-0001-8316-9503\")), person(\"Binxiang\", \"Ni\", role = \"aut\"), person(\"Conrad\", \"Sanderson\", role = \"aut\", comment = c(ORCID = \"0000-0002-0049-4501\")))", - "Description": "'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.", - "License": "GPL (>= 2)", - "LazyLoad": "yes", - "Depends": [ - "R (>= 3.3.0)" - ], - "LinkingTo": [ - "Rcpp" - ], - "Imports": [ - "Rcpp (>= 1.0.12)", - "stats", - "utils", - "methods" - ], - "Suggests": [ - "tinytest", - "Matrix (>= 1.3.0)", - "pkgKitten", - "reticulate", - "slam" - ], - "URL": "https://github.com/RcppCore/RcppArmadillo, https://dirk.eddelbuettel.com/code/rcpp.armadillo.html", - "BugReports": "https://github.com/RcppCore/RcppArmadillo/issues", - "RoxygenNote": "6.0.1", - "NeedsCompilation": "yes", - "Author": "Dirk Eddelbuettel [aut, cre] (), Romain Francois [aut] (), Doug Bates [aut] (), Binxiang Ni [aut], Conrad Sanderson [aut] ()", - "Maintainer": "Dirk Eddelbuettel ", - "Repository": "https://packagemanager.posit.co/cran/latest", - "Encoding": "UTF-8" - }, - "SimMultiCorrData": { - "Package": "SimMultiCorrData", - "Version": "0.2.2", - "Source": "Repository", - "Type": "Package", - "Title": "Simulation of Correlated Data with Multiple Variable Types", - "Author": "Allison Cynthia Fialkowski", - "Maintainer": "Allison Cynthia Fialkowski ", - "Description": "Generate continuous (normal or non-normal), binary, ordinal, and count (Poisson or Negative Binomial) variables with a specified correlation matrix. It can also produce a single continuous variable. This package can be used to simulate data sets that mimic real-world situations (i.e. clinical or genetic data sets, plasmodes). All variables are generated from standard normal variables with an imposed intermediate correlation matrix. Continuous variables are simulated by specifying mean, variance, skewness, standardized kurtosis, and fifth and sixth standardized cumulants using either Fleishman's third-order () or Headrick's fifth-order () polynomial transformation. Binary and ordinal variables are simulated using a modification of the ordsample() function from 'GenOrd'. Count variables are simulated using the inverse cdf method. There are two simulation pathways which differ primarily according to the calculation of the intermediate correlation matrix. In Correlation Method 1, the intercorrelations involving count variables are determined using a simulation based, logarithmic correlation correction (adapting Yahav and Shmueli's 2012 method, ). In Correlation Method 2, the count variables are treated as ordinal (adapting Barbiero and Ferrari's 2015 modification of GenOrd, ). There is an optional error loop that corrects the final correlation matrix to be within a user-specified precision value of the target matrix. The package also includes functions to calculate standardized cumulants for theoretical distributions or from real data sets, check if a target correlation matrix is within the possible correlation bounds (given the distributions of the simulated variables), summarize results (numerically or graphically), to verify valid power method pdfs, and to calculate lower standardized kurtosis bounds.", - "Depends": [ - "R (>= 3.3.0)" - ], - "License": "GPL-2", - "Imports": [ - "BB", - "nleqslv", - "GenOrd", - "psych", - "Matrix", - "VGAM", - "triangle", - "ggplot2", - "grid", - "stats", - "utils" - ], - "Encoding": "UTF-8", - "LazyData": "true", - "RoxygenNote": "6.0.1", - "Suggests": [ - "knitr", - "rmarkdown", - "printr", - "testthat" - ], - "VignetteBuilder": "knitr", - "URL": "https://github.com/AFialkowski/SimMultiCorrData", - "NeedsCompilation": "no", - "Repository": "CRAN" - }, - "TTR": { - "Package": "TTR", - "Version": "0.24.4", - "Source": "Repository", - "Type": "Package", - "Title": "Technical Trading Rules", - "Authors@R": "c( person(given=\"Joshua\", family=\"Ulrich\", role=c(\"cre\",\"aut\"), email=\"josh.m.ulrich@gmail.com\"), person(given=c(\"Ethan\",\"B.\"), family=\"Smith\", role=\"ctb\") )", - "Imports": [ - "xts (>= 0.10-0)", - "zoo", - "curl" - ], - "LinkingTo": [ - "xts" - ], - "Enhances": [ - "quantmod" - ], - "Suggests": [ - "RUnit" - ], - "Description": "A collection of over 50 technical indicators for creating technical trading rules. The package also provides fast implementations of common rolling-window functions, and several volatility calculations.", - "License": "GPL (>= 2)", - "URL": "https://github.com/joshuaulrich/TTR", - "BugReports": "https://github.com/joshuaulrich/TTR/issues", - "NeedsCompilation": "yes", - "Author": "Joshua Ulrich [cre, aut], Ethan B. Smith [ctb]", - "Maintainer": "Joshua Ulrich ", - "Repository": "CRAN" - }, - "VGAM": { - "Package": "VGAM", - "Version": "1.1-13", - "Source": "Repository", - "Date": "2025-02-11", - "Title": "Vector Generalized Linear and Additive Models", - "Authors@R": "c(person(\"Thomas\", \"Yee\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-9970-3907\"), email = \"t.yee@auckland.ac.nz\"), person(\"Cleve\", \"Moler\", role = \"ctb\", comment = \"LINPACK routines in src\"))", - "Author": "Thomas Yee [aut, cre] (), Cleve Moler [ctb] (LINPACK routines in src)", - "Maintainer": "Thomas Yee ", - "Depends": [ - "R (>= 4.1.0)", - "methods", - "stats", - "stats4", - "splines" - ], - "Suggests": [ - "VGAMextra", - "MASS", - "mgcv" - ], - "Enhances": [ - "VGAMdata" - ], - "Description": "An implementation of about 6 major classes of statistical regression models. The central algorithm is Fisher scoring and iterative reweighted least squares. 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It support ANSI colors and text styles as well.", - "License": "MIT + file LICENSE", - "URL": "https://cli.r-lib.org, https://github.com/r-lib/cli", - "BugReports": "https://github.com/r-lib/cli/issues", - "Depends": [ - "R (>= 3.4)" - ], - "Imports": [ - "utils" - ], - "Suggests": [ - "callr", - "covr", - "crayon", - "digest", - "glue (>= 1.6.0)", - "grDevices", - "htmltools", - "htmlwidgets", - "knitr", - "methods", - "processx", - "ps (>= 1.3.4.9000)", - "rlang (>= 1.0.2.9003)", - "rmarkdown", - "rprojroot", - "rstudioapi", - "testthat (>= 3.2.0)", - "tibble", - "whoami", - "withr" - ], - "Config/Needs/website": "r-lib/asciicast, bench, brio, cpp11, decor, desc, fansi, prettyunits, sessioninfo, tidyverse/tidytemplate, usethis, vctrs", - "Config/testthat/edition": "3", - "Encoding": "UTF-8", - "RoxygenNote": "7.3.2", - "NeedsCompilation": "yes", - "Author": "Gábor Csárdi [aut, cre], Hadley Wickham [ctb], Kirill Müller [ctb], Salim Brüggemann [ctb] (), Posit Software, PBC [cph, fnd]", - "Maintainer": "Gábor Csárdi ", - "Repository": "CRAN" - }, - "clipr": { - "Package": "clipr", - "Version": "0.8.0", - "Source": "Repository", - "Type": "Package", - "Title": "Read and Write from the System Clipboard", - "Authors@R": "c( person(\"Matthew\", \"Lincoln\", , \"matthew.d.lincoln@gmail.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-4387-3384\")), person(\"Louis\", \"Maddox\", role = \"ctb\"), person(\"Steve\", \"Simpson\", role = \"ctb\"), person(\"Jennifer\", \"Bryan\", role = \"ctb\") )", - "Description": "Simple utility functions to read from and write to the Windows, OS X, and X11 clipboards.", - "License": "GPL-3", - "URL": "https://github.com/mdlincoln/clipr, http://matthewlincoln.net/clipr/", - "BugReports": "https://github.com/mdlincoln/clipr/issues", - "Imports": [ - "utils" - ], - "Suggests": [ - "covr", - "knitr", - "rmarkdown", - "rstudioapi (>= 0.5)", - "testthat (>= 2.0.0)" - ], - "VignetteBuilder": "knitr", - "Encoding": "UTF-8", - "Language": "en-US", - "RoxygenNote": "7.1.2", - "SystemRequirements": "xclip (https://github.com/astrand/xclip) or xsel (http://www.vergenet.net/~conrad/software/xsel/) for accessing the X11 clipboard, or wl-clipboard (https://github.com/bugaevc/wl-clipboard) for systems using Wayland.", - "NeedsCompilation": "no", - "Author": "Matthew Lincoln [aut, cre] (), Louis Maddox [ctb], Steve Simpson [ctb], Jennifer Bryan [ctb]", - "Maintainer": "Matthew Lincoln ", - "Repository": "CRAN" - }, - "codetools": { - "Package": "codetools", - "Version": "0.2-20", - "Source": "Repository", - "Priority": "recommended", - "Author": "Luke Tierney ", - "Description": "Code analysis tools for R.", - "Title": "Code Analysis Tools for R", - "Depends": [ - "R (>= 2.1)" - ], - "Maintainer": "Luke Tierney ", - "URL": "https://gitlab.com/luke-tierney/codetools", - "License": "GPL", - "NeedsCompilation": "no", - "Repository": "CRAN" - }, - "commonmark": { - "Package": "commonmark", - "Version": "1.9.5", - "Source": "Repository", - "Type": "Package", - "Title": "High Performance CommonMark and Github Markdown Rendering in R", - "Authors@R": "c( person(\"Jeroen\", \"Ooms\", ,\"jeroenooms@gmail.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-4035-0289\")), person(\"John MacFarlane\", role = \"cph\", comment = \"Author of cmark\"))", - "Description": "The CommonMark specification defines a rationalized version of markdown syntax. This package uses the 'cmark' reference implementation for converting markdown text into various formats including html, latex and groff man. In addition it exposes the markdown parse tree in xml format. Also includes opt-in support for GFM extensions including tables, autolinks, and strikethrough text.", - "License": "BSD_2_clause + file LICENSE", - "URL": "https://docs.ropensci.org/commonmark/ https://ropensci.r-universe.dev/commonmark", - "BugReports": "https://github.com/r-lib/commonmark/issues", - "Suggests": [ - "curl", - "testthat", - "xml2" - ], - "RoxygenNote": "7.3.2", - "Language": "en-US", - "Encoding": "UTF-8", - "NeedsCompilation": "yes", - "Author": "Jeroen Ooms [aut, cre] (), John MacFarlane [cph] (Author of cmark)", - "Maintainer": "Jeroen Ooms ", - "Repository": "CRAN" - }, - "covr": { - "Package": "covr", - "Version": "3.6.4", - "Source": "Repository", - "Encoding": "UTF-8", - "Title": "Test Coverage for Packages", - "Authors@R": "c( person(\"Jim\", \"Hester\", email = \"james.f.hester@gmail.com\", role = c(\"aut\", \"cre\")), person(\"Willem\", \"Ligtenberg\", role = \"ctb\"), person(\"Kirill\", \"Müller\", role = \"ctb\"), person(\"Henrik\", \"Bengtsson\", role = \"ctb\"), person(\"Steve\", \"Peak\", role = \"ctb\"), person(\"Kirill\", \"Sevastyanenko\", role = \"ctb\"), person(\"Jon\", \"Clayden\", role = \"ctb\"), person(\"Robert\", \"Flight\", role = \"ctb\"), person(\"Eric\", \"Brown\", role = \"ctb\"), person(\"Brodie\", \"Gaslam\", role = \"ctb\"), person(\"Will\", \"Beasley\", role = \"ctb\"), person(\"Robert\", \"Krzyzanowski\", role = \"ctb\"), person(\"Markus\", \"Wamser\", role = \"ctb\"), person(\"Karl\", \"Forner\", role = \"ctb\"), person(\"Gergely\", \"Daróczi\", role = \"ctb\"), person(\"Jouni\", \"Helske\", role = \"ctb\"), person(\"Kun\", \"Ren\", role = \"ctb\"), person(\"Jeroen\", \"Ooms\", role = \"ctb\"), person(\"Ken\", \"Williams\", role = \"ctb\"), person(\"Chris\", \"Campbell\", role = \"ctb\"), person(\"David\", \"Hugh-Jones\", role = \"ctb\"), person(\"Qin\", \"Wang\", role = \"ctb\"), person(\"Doug\", \"Kelkhoff\", role = \"ctb\"), person(\"Ivan\", \"Sagalaev\", role = c(\"ctb\", \"cph\"), comment = \"highlight.js library\"), person(\"Mark\", \"Otto\", role = \"ctb\", comment = \"Bootstrap library\"), person(\"Jacob\", \"Thornton\", role = \"ctb\", comment = \"Bootstrap library\"), person(family = \"Bootstrap contributors\", role = \"ctb\", comment = \"Bootstrap library\"), person(family = \"Twitter, Inc\", role = \"cph\", comment = \"Bootstrap library\") )", - "Description": "Track and report code coverage for your package and (optionally) upload the results to a coverage service like 'Codecov' or 'Coveralls' . Code coverage is a measure of the amount of code being exercised by a set of tests. It is an indirect measure of test quality and completeness. This package is compatible with any testing methodology or framework and tracks coverage of both R code and compiled C/C++/FORTRAN code.", - "URL": "https://covr.r-lib.org, https://github.com/r-lib/covr", - "BugReports": "https://github.com/r-lib/covr/issues", - "Depends": [ - "R (>= 3.1.0)", - "methods" - ], - "Imports": [ - "digest", - "stats", - "utils", - "jsonlite", - "rex", - "httr", - "crayon", - "withr (>= 1.0.2)", - "yaml" - ], - "Suggests": [ - "R6", - "curl", - "knitr", - "rmarkdown", - "htmltools", - "DT (>= 0.2)", - "testthat", - "rlang", - "rstudioapi (>= 0.2)", - "xml2 (>= 1.0.0)", - "parallel", - "memoise", - "mockery", - "covr" - ], - "License": "MIT + file LICENSE", - "VignetteBuilder": "knitr", - "RoxygenNote": "7.2.3", - "NeedsCompilation": "yes", - "Author": "Jim Hester [aut, cre], Willem Ligtenberg [ctb], Kirill Müller [ctb], Henrik Bengtsson [ctb], Steve Peak [ctb], Kirill Sevastyanenko [ctb], Jon Clayden [ctb], Robert Flight [ctb], Eric Brown [ctb], Brodie Gaslam [ctb], Will Beasley [ctb], Robert Krzyzanowski [ctb], Markus Wamser [ctb], Karl Forner [ctb], Gergely Daróczi [ctb], Jouni Helske [ctb], Kun Ren [ctb], Jeroen Ooms [ctb], Ken Williams [ctb], Chris Campbell [ctb], David Hugh-Jones [ctb], Qin Wang [ctb], Doug Kelkhoff [ctb], Ivan Sagalaev [ctb, cph] (highlight.js library), Mark Otto [ctb] (Bootstrap library), Jacob Thornton [ctb] (Bootstrap library), Bootstrap contributors [ctb] (Bootstrap library), Twitter, Inc [cph] (Bootstrap library)", - "Maintainer": "Jim Hester ", - "Repository": "CRAN" - }, - "cpp11": { - "Package": "cpp11", - "Version": "0.5.2", - "Source": "Repository", - "Title": "A C++11 Interface for R's C Interface", - "Authors@R": "c( person(\"Davis\", \"Vaughan\", email = \"davis@posit.co\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-4777-038X\")), person(\"Jim\",\"Hester\", role = \"aut\", comment = c(ORCID = \"0000-0002-2739-7082\")), person(\"Romain\", \"François\", role = \"aut\", comment = c(ORCID = \"0000-0002-2444-4226\")), person(\"Benjamin\", \"Kietzman\", role = \"ctb\"), person(\"Posit Software, PBC\", role = c(\"cph\", \"fnd\")) )", - "Description": "Provides a header only, C++11 interface to R's C interface. Compared to other approaches 'cpp11' strives to be safe against long jumps from the C API as well as C++ exceptions, conform to normal R function semantics and supports interaction with 'ALTREP' vectors.", - "License": "MIT + file LICENSE", - "URL": "https://cpp11.r-lib.org, https://github.com/r-lib/cpp11", - "BugReports": "https://github.com/r-lib/cpp11/issues", - "Depends": [ - "R (>= 4.0.0)" - ], - "Suggests": [ - "bench", - "brio", - "callr", - "cli", - "covr", - "decor", - "desc", - "ggplot2", - "glue", - "knitr", - "lobstr", - "mockery", - "progress", - "rmarkdown", - "scales", - "Rcpp", - "testthat (>= 3.2.0)", - "tibble", - "utils", - "vctrs", - "withr" - ], - "VignetteBuilder": "knitr", - "Config/Needs/website": "tidyverse/tidytemplate", - "Config/testthat/edition": "3", - "Config/Needs/cpp11/cpp_register": "brio, cli, decor, desc, glue, tibble, vctrs", - "Encoding": "UTF-8", - "RoxygenNote": "7.3.2", - "NeedsCompilation": "no", - "Author": "Davis Vaughan [aut, cre] (), Jim Hester [aut] (), Romain François [aut] (), Benjamin Kietzman [ctb], Posit Software, PBC [cph, fnd]", - "Maintainer": "Davis Vaughan ", - "Repository": "CRAN" - }, - "crayon": { - "Package": "crayon", - "Version": "1.5.3", - "Source": "Repository", - "Title": "Colored Terminal Output", - "Authors@R": "c( person(\"Gábor\", \"Csárdi\", , \"csardi.gabor@gmail.com\", role = c(\"aut\", \"cre\")), person(\"Brodie\", \"Gaslam\", , \"brodie.gaslam@yahoo.com\", role = \"ctb\"), person(\"Posit Software, PBC\", role = c(\"cph\", \"fnd\")) )", - "Description": "The crayon package is now superseded. Please use the 'cli' package for new projects. Colored terminal output on terminals that support 'ANSI' color and highlight codes. It also works in 'Emacs' 'ESS'. 'ANSI' color support is automatically detected. Colors and highlighting can be combined and nested. New styles can also be created easily. This package was inspired by the 'chalk' 'JavaScript' project.", - "License": "MIT + file LICENSE", - "URL": "https://r-lib.github.io/crayon/, https://github.com/r-lib/crayon", - "BugReports": "https://github.com/r-lib/crayon/issues", - "Imports": [ - "grDevices", - "methods", - "utils" - ], - "Suggests": [ - "mockery", - "rstudioapi", - "testthat", - "withr" - ], - "Config/Needs/website": "tidyverse/tidytemplate", - "Encoding": "UTF-8", - "RoxygenNote": "7.3.1", - "Collate": "'aaa-rstudio-detect.R' 'aaaa-rematch2.R' 'aab-num-ansi-colors.R' 'aac-num-ansi-colors.R' 'ansi-256.R' 'ansi-palette.R' 'combine.R' 'string.R' 'utils.R' 'crayon-package.R' 'disposable.R' 'enc-utils.R' 'has_ansi.R' 'has_color.R' 'link.R' 'styles.R' 'machinery.R' 'parts.R' 'print.R' 'style-var.R' 'show.R' 'string_operations.R'", - "NeedsCompilation": "no", - "Author": "Gábor Csárdi [aut, cre], Brodie Gaslam [ctb], Posit Software, PBC [cph, fnd]", - "Maintainer": "Gábor Csárdi ", - "Repository": "CRAN" - }, - "credentials": { - "Package": "credentials", - "Version": "2.0.2", - "Source": "Repository", - "Type": "Package", - "Title": "Tools for Managing SSH and Git Credentials", - "Authors@R": "person(\"Jeroen\", \"Ooms\", role = c(\"aut\", \"cre\"), email = \"jeroenooms@gmail.com\", comment = c(ORCID = \"0000-0002-4035-0289\"))", - "Description": "Setup and retrieve HTTPS and SSH credentials for use with 'git' and other services. For HTTPS remotes the package interfaces the 'git-credential' utility which 'git' uses to store HTTP usernames and passwords. For SSH remotes we provide convenient functions to find or generate appropriate SSH keys. The package both helps the user to setup a local git installation, and also provides a back-end for git/ssh client libraries to authenticate with existing user credentials.", - "License": "MIT + file LICENSE", - "SystemRequirements": "git (optional)", - "Encoding": "UTF-8", - "Imports": [ - "openssl (>= 1.3)", - "sys (>= 2.1)", - "curl", - "jsonlite", - "askpass" - ], - "Suggests": [ - "testthat", - "knitr", - "rmarkdown" - ], - "RoxygenNote": "7.2.1", - "VignetteBuilder": "knitr", - "Language": "en-US", - "URL": "https://docs.ropensci.org/credentials/ https://r-lib.r-universe.dev/credentials", - "BugReports": "https://github.com/r-lib/credentials/issues", - "NeedsCompilation": "no", - "Author": "Jeroen Ooms [aut, cre] ()", - "Maintainer": "Jeroen Ooms ", - "Repository": "CRAN" - }, - "crosstalk": { - "Package": "crosstalk", - "Version": "1.2.1", - "Source": "Repository", - "Type": "Package", - "Title": "Inter-Widget Interactivity for HTML Widgets", - "Authors@R": "c( person(\"Joe\", \"Cheng\", role = \"aut\", email = \"joe@posit.co\"), person(\"Carson\", \"Sievert\", role = c(\"aut\", \"cre\"), email = \"carson@posit.co\", comment = c(ORCID = \"0000-0002-4958-2844\")), person(\"Posit Software, PBC\", role = c(\"cph\", \"fnd\")), person(family = \"jQuery Foundation\", role = \"cph\", comment = \"jQuery library and jQuery UI library\"), person(family = \"jQuery contributors\", role = c(\"ctb\", \"cph\"), comment = \"jQuery library; authors listed in inst/www/shared/jquery-AUTHORS.txt\"), person(\"Mark\", \"Otto\", role = \"ctb\", comment = \"Bootstrap library\"), person(\"Jacob\", \"Thornton\", role = \"ctb\", comment = \"Bootstrap library\"), person(family = \"Bootstrap contributors\", role = \"ctb\", comment = \"Bootstrap library\"), person(family = \"Twitter, Inc\", role = \"cph\", comment = \"Bootstrap library\"), person(\"Brian\", \"Reavis\", role = c(\"ctb\", \"cph\"), comment = \"selectize.js library\"), person(\"Kristopher Michael\", \"Kowal\", role = c(\"ctb\", \"cph\"), comment = \"es5-shim library\"), person(family = \"es5-shim contributors\", role = c(\"ctb\", \"cph\"), comment = \"es5-shim library\"), person(\"Denis\", \"Ineshin\", role = c(\"ctb\", \"cph\"), comment = \"ion.rangeSlider library\"), person(\"Sami\", \"Samhuri\", role = c(\"ctb\", \"cph\"), comment = \"Javascript strftime library\") )", - "Description": "Provides building blocks for allowing HTML widgets to communicate with each other, with Shiny or without (i.e. static .html files). 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"NeedsCompilation": "no", - "Author": "Hadley Wickham [aut] (), Winston Chang [aut] (), Lionel Henry [aut], Thomas Lin Pedersen [aut, cre] (), Kohske Takahashi [aut], Claus Wilke [aut] (), Kara Woo [aut] (), Hiroaki Yutani [aut] (), Dewey Dunnington [aut] (), Teun van den Brand [aut] (), Posit, PBC [cph, fnd]", - "Maintainer": "Thomas Lin Pedersen ", - "Repository": "CRAN" - }, - "ggplotify": { - "Package": "ggplotify", - "Version": "0.1.2", - "Source": "Repository", - "Title": "Convert Plot to 'grob' or 'ggplot' Object", - "Authors@R": "c(person(\"Guangchuang\", \"Yu\", email = \"guangchuangyu@gmail.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-6485-8781\")))", - "Description": "Convert plot function call (using expression or formula) to 'grob' or 'ggplot' object that compatible to the 'grid' and 'ggplot2' ecosystem. 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Wichura [ctb] (Fortran routine PHINV), G. W. Hill [ctb] (Fortran routine STDINV), Yihong Ge [ctb] (Fortran routines BNVU and MVBVU).", - "Maintainer": "Adelchi Azzalini ", - "Depends": [ - "R (>= 2.2.0)" - ], - "Description": "Functions are provided for computing the density and the distribution function of d-dimensional normal and \"t\" random variables, possibly truncated (on one side or two sides), and for generating random vectors sampled from these distributions, except sampling from the truncated \"t\". Moments of arbitrary order of a multivariate truncated normal are computed, and converted to cumulants up to order 4. 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Ryan [aut, cph], Joshua M. Ulrich [cre, aut], Ross Bennett [ctb], Corwin Joy [ctb]", - "Maintainer": "Joshua M. Ulrich ", - "Repository": "CRAN" - }, - "yaml": { - "Package": "yaml", - "Version": "2.3.10", - "Source": "Repository", - "Type": "Package", - "Title": "Methods to Convert R Data to YAML and Back", - "Date": "2024-07-22", - "Suggests": [ - "RUnit" - ], - "Author": "Shawn P Garbett [aut], Jeremy Stephens [aut, cre], Kirill Simonov [aut], Yihui Xie [ctb], Zhuoer Dong [ctb], Hadley Wickham [ctb], Jeffrey Horner [ctb], reikoch [ctb], Will Beasley [ctb], Brendan O'Connor [ctb], Gregory R. Warnes [ctb], Michael Quinn [ctb], Zhian N. Kamvar [ctb], Charlie Gao [ctb]", - "Maintainer": "Shawn Garbett ", - "License": "BSD_3_clause + file LICENSE", - "Description": "Implements the 'libyaml' 'YAML' 1.1 parser and emitter () for R.", - "URL": "https://github.com/vubiostat/r-yaml/", - "BugReports": "https://github.com/vubiostat/r-yaml/issues", - "NeedsCompilation": "yes", - "Repository": "CRAN" - }, - "yulab.utils": { - "Package": "yulab.utils", - "Version": "0.2.0", - "Source": "Repository", - "Title": "Supporting Functions for Packages Maintained by 'YuLab-SMU'", - "Authors@R": "c(person(\"Guangchuang\", \"Yu\", email = \"guangchuangyu@gmail.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-6485-8781\")))", - "Description": "Miscellaneous functions commonly used by 'YuLab-SMU'.", - "Depends": [ - "R (>= 4.2.0)" - ], - "Imports": [ - "cli", - "digest", - "fs", - "rlang", - "tools", - "utils" - ], - "Suggests": [ - "httr2", - "jsonlite", - "openssl", - "rappdirs" - ], - "ByteCompile": "true", - "License": "Artistic-2.0", - "URL": "https://yulab-smu.top/", - "BugReports": "https://github.com/YuLab-SMU/yulab.utils/issues", - "Encoding": "UTF-8", - "RoxygenNote": "7.3.2", - "NeedsCompilation": "no", - "Author": "Guangchuang Yu [aut, cre] ()", - "Maintainer": "Guangchuang Yu ", - "Repository": "CRAN" - }, - "zip": { - "Package": "zip", - "Version": "2.3.3", - "Source": "Repository", - "Title": "Cross-Platform 'zip' Compression", - "Authors@R": "c( person(\"Gábor\", \"Csárdi\", , \"csardi.gabor@gmail.com\", role = c(\"aut\", \"cre\")), person(\"Kuba\", \"Podgórski\", role = \"ctb\"), person(\"Rich\", \"Geldreich\", role = \"ctb\"), person(\"Posit Software, PBC\", role = c(\"cph\", \"fnd\"), comment = c(ROR = \"03wc8by49\")) )", - "Description": "Cross-Platform 'zip' Compression Library. A replacement for the 'zip' function, that does not require any additional external tools on any platform.", - "License": "MIT + file LICENSE", - "URL": "https://github.com/r-lib/zip, https://r-lib.github.io/zip/", - "BugReports": "https://github.com/r-lib/zip/issues", - "Suggests": [ - "covr", - "pillar", - "processx", - "R6", - "testthat", - "withr" - ], - "Config/Needs/website": "tidyverse/tidytemplate", - "Config/testthat/edition": "3", - "Config/usethis/last-upkeep": "2025-05-07", - "Encoding": "UTF-8", - "RoxygenNote": "7.3.2.9000", - "NeedsCompilation": "yes", - "Author": "Gábor Csárdi [aut, cre], Kuba Podgórski [ctb], Rich Geldreich [ctb], Posit Software, PBC [cph, fnd] (ROR: )", - "Maintainer": "Gábor Csárdi ", - "Repository": "CRAN" - }, - "zoo": { - "Package": "zoo", - "Version": "1.8-14", - "Source": "Repository", - "Date": "2025-04-09", - "Title": "S3 Infrastructure for Regular and Irregular Time Series (Z's Ordered Observations)", - "Authors@R": "c(person(given = \"Achim\", family = \"Zeileis\", role = c(\"aut\", \"cre\"), email = \"Achim.Zeileis@R-project.org\", comment = c(ORCID = \"0000-0003-0918-3766\")), person(given = \"Gabor\", family = \"Grothendieck\", role = \"aut\", email = \"ggrothendieck@gmail.com\"), person(given = c(\"Jeffrey\", \"A.\"), family = \"Ryan\", role = \"aut\", email = \"jeff.a.ryan@gmail.com\"), person(given = c(\"Joshua\", \"M.\"), family = \"Ulrich\", role = \"ctb\", email = \"josh.m.ulrich@gmail.com\"), person(given = \"Felix\", family = \"Andrews\", role = \"ctb\", email = \"felix@nfrac.org\"))", - "Description": "An S3 class with methods for totally ordered indexed observations. It is particularly aimed at irregular time series of numeric vectors/matrices and factors. zoo's key design goals are independence of a particular index/date/time class and consistency with ts and base R by providing methods to extend standard generics.", - "Depends": [ - "R (>= 3.1.0)", - "stats" - ], - "Suggests": [ - "AER", - "coda", - "chron", - "ggplot2 (>= 3.5.0)", - "mondate", - "scales", - "stinepack", - "strucchange", - "timeDate", - "timeSeries", - "tinyplot", - "tis", - "tseries", - "xts" - ], - "Imports": [ - "utils", - "graphics", - "grDevices", - "lattice (>= 0.20-27)" - ], - "License": "GPL-2 | GPL-3", - "URL": "https://zoo.R-Forge.R-project.org/", - "NeedsCompilation": "yes", - "Author": "Achim Zeileis [aut, cre] (), Gabor Grothendieck [aut], Jeffrey A. Ryan [aut], Joshua M. Ulrich [ctb], Felix Andrews [ctb]", - "Maintainer": "Achim Zeileis ", - "Repository": "CRAN" - } - } -} diff --git a/renv/.gitignore b/renv/.gitignore deleted file mode 100644 index 22a0d01d..00000000 --- a/renv/.gitignore +++ /dev/null @@ -1,7 +0,0 @@ -sandbox/ -library/ -local/ -cellar/ -lock/ -python/ -staging/ diff --git a/renv/activate.R b/renv/activate.R deleted file mode 100644 index 90b251ca..00000000 --- a/renv/activate.R +++ /dev/null @@ -1,1334 +0,0 @@ - -local({ - - # the requested version of renv - version <- "1.1.4" - attr(version, "sha") <- NULL - - # the project directory - project <- Sys.getenv("RENV_PROJECT") - if (!nzchar(project)) - project <- getwd() - - # use start-up diagnostics if enabled - diagnostics <- Sys.getenv("RENV_STARTUP_DIAGNOSTICS", unset = "FALSE") - if (diagnostics) { - start <- Sys.time() - profile <- tempfile("renv-startup-", fileext = ".Rprof") - utils::Rprof(profile) - on.exit({ - utils::Rprof(NULL) - elapsed <- signif(difftime(Sys.time(), start, units = "auto"), digits = 2L) - writeLines(sprintf("- renv took %s to run the autoloader.", format(elapsed))) - writeLines(sprintf("- Profile: %s", profile)) - print(utils::summaryRprof(profile)) - }, add = TRUE) - } - - # figure out whether the autoloader is enabled - enabled <- local({ - - # first, check config option - override <- getOption("renv.config.autoloader.enabled") - if (!is.null(override)) - return(override) - - # if we're being run in a context where R_LIBS is already set, - # don't load -- presumably we're being run as a sub-process and - # the parent process has already set up library paths for us - rcmd <- Sys.getenv("R_CMD", unset = NA) - rlibs <- Sys.getenv("R_LIBS", unset = NA) - if (!is.na(rlibs) && !is.na(rcmd)) - return(FALSE) - - # next, check environment variables - # prefer using the configuration one in the future - envvars <- c( - "RENV_CONFIG_AUTOLOADER_ENABLED", - "RENV_AUTOLOADER_ENABLED", - "RENV_ACTIVATE_PROJECT" - ) - - for (envvar in envvars) { - envval <- Sys.getenv(envvar, unset = NA) - if (!is.na(envval)) - return(tolower(envval) %in% c("true", "t", "1")) - } - - # enable by default - TRUE - - }) - - # bail if we're not enabled - if (!enabled) { - - # if we're not enabled, we might still need to manually load - # the user profile here - profile <- Sys.getenv("R_PROFILE_USER", unset = "~/.Rprofile") - if (file.exists(profile)) { - cfg <- Sys.getenv("RENV_CONFIG_USER_PROFILE", unset = "TRUE") - if (tolower(cfg) %in% c("true", "t", "1")) - sys.source(profile, envir = globalenv()) - } - - return(FALSE) - - } - - # avoid recursion - if (identical(getOption("renv.autoloader.running"), TRUE)) { - warning("ignoring recursive attempt to run renv autoloader") - return(invisible(TRUE)) - } - - # signal that we're loading renv during R startup - options(renv.autoloader.running = TRUE) - on.exit(options(renv.autoloader.running = NULL), add = TRUE) - - # signal that we've consented to use renv - options(renv.consent = TRUE) - - # load the 'utils' package eagerly -- this ensures that renv shims, which - # mask 'utils' packages, will come first on the search path - library(utils, lib.loc = .Library) - - # unload renv if it's already been loaded - if ("renv" %in% loadedNamespaces()) - unloadNamespace("renv") - - # load bootstrap tools - ansify <- function(text) { - if (renv_ansify_enabled()) - renv_ansify_enhanced(text) - else - renv_ansify_default(text) - } - - renv_ansify_enabled <- function() { - - override <- Sys.getenv("RENV_ANSIFY_ENABLED", unset = NA) - if (!is.na(override)) - return(as.logical(override)) - - pane <- Sys.getenv("RSTUDIO_CHILD_PROCESS_PANE", unset = NA) - if (identical(pane, "build")) - return(FALSE) - - testthat <- Sys.getenv("TESTTHAT", unset = "false") - if (tolower(testthat) %in% "true") - return(FALSE) - - iderun <- Sys.getenv("R_CLI_HAS_HYPERLINK_IDE_RUN", unset = "false") - if (tolower(iderun) %in% "false") - return(FALSE) - - TRUE - - } - - renv_ansify_default <- function(text) { - text - } - - renv_ansify_enhanced <- function(text) { - - # R help links - pattern <- "`\\?(renv::(?:[^`])+)`" - replacement <- "`\033]8;;x-r-help:\\1\a?\\1\033]8;;\a`" - text <- gsub(pattern, replacement, text, perl = TRUE) - - # runnable code - pattern <- "`(renv::(?:[^`])+)`" - replacement <- "`\033]8;;x-r-run:\\1\a\\1\033]8;;\a`" - text <- gsub(pattern, replacement, text, perl = TRUE) - - # return ansified text - text - - } - - renv_ansify_init <- function() { - - envir <- renv_envir_self() - if (renv_ansify_enabled()) - assign("ansify", renv_ansify_enhanced, envir = envir) - else - assign("ansify", renv_ansify_default, envir = envir) - - } - - `%||%` <- function(x, y) { - if (is.null(x)) y else x - } - - catf <- function(fmt, ..., appendLF = TRUE) { - - quiet <- getOption("renv.bootstrap.quiet", default = FALSE) - if (quiet) - return(invisible()) - - msg <- sprintf(fmt, ...) - cat(msg, file = stdout(), sep = if (appendLF) "\n" else "") - - invisible(msg) - - } - - header <- function(label, - ..., - prefix = "#", - suffix = "-", - n = min(getOption("width"), 78)) - { - label <- sprintf(label, ...) - n <- max(n - nchar(label) - nchar(prefix) - 2L, 8L) - if (n <= 0) - return(paste(prefix, label)) - - tail <- paste(rep.int(suffix, n), collapse = "") - paste0(prefix, " ", label, " ", tail) - - } - - heredoc <- function(text, leave = 0) { - - # remove leading, trailing whitespace - trimmed <- gsub("^\\s*\\n|\\n\\s*$", "", text) - - # split into lines - lines <- strsplit(trimmed, "\n", fixed = TRUE)[[1L]] - - # compute common indent - indent <- regexpr("[^[:space:]]", lines) - common <- min(setdiff(indent, -1L)) - leave - text <- paste(substring(lines, common), collapse = "\n") - - # substitute in ANSI links for executable renv code - ansify(text) - - } - - bootstrap <- function(version, library) { - - friendly <- renv_bootstrap_version_friendly(version) - section <- header(sprintf("Bootstrapping renv %s", friendly)) - catf(section) - - # attempt to download renv - catf("- Downloading renv ... ", appendLF = FALSE) - withCallingHandlers( - tarball <- renv_bootstrap_download(version), - error = function(err) { - catf("FAILED") - stop("failed to download:\n", conditionMessage(err)) - } - ) - catf("OK") - on.exit(unlink(tarball), add = TRUE) - - # now attempt to install - catf("- Installing renv ... ", appendLF = FALSE) - withCallingHandlers( - status <- renv_bootstrap_install(version, tarball, library), - error = function(err) { - catf("FAILED") - stop("failed to install:\n", conditionMessage(err)) - } - ) - catf("OK") - - # add empty line to break up bootstrapping from normal output - catf("") - - return(invisible()) - } - - renv_bootstrap_tests_running <- function() { - getOption("renv.tests.running", default = FALSE) - } - - renv_bootstrap_repos <- function() { - - # get CRAN repository - cran <- getOption("renv.repos.cran", "https://cloud.r-project.org") - - # check for repos override - repos <- Sys.getenv("RENV_CONFIG_REPOS_OVERRIDE", unset = NA) - if (!is.na(repos)) { - - # check for RSPM; if set, use a fallback repository for renv - rspm <- Sys.getenv("RSPM", unset = NA) - if (identical(rspm, repos)) - repos <- c(RSPM = rspm, CRAN = cran) - - return(repos) - - } - - # check for lockfile repositories - repos <- tryCatch(renv_bootstrap_repos_lockfile(), error = identity) - if (!inherits(repos, "error") && length(repos)) - return(repos) - - # retrieve current repos - repos <- getOption("repos") - - # ensure @CRAN@ entries are resolved - repos[repos == "@CRAN@"] <- cran - - # add in renv.bootstrap.repos if set - default <- c(FALLBACK = "https://cloud.r-project.org") - extra <- getOption("renv.bootstrap.repos", default = default) - repos <- c(repos, extra) - - # remove duplicates that might've snuck in - dupes <- duplicated(repos) | duplicated(names(repos)) - repos[!dupes] - - } - - renv_bootstrap_repos_lockfile <- function() { - - lockpath <- Sys.getenv("RENV_PATHS_LOCKFILE", unset = "renv.lock") - if (!file.exists(lockpath)) - return(NULL) - - lockfile <- tryCatch(renv_json_read(lockpath), error = identity) - if (inherits(lockfile, "error")) { - warning(lockfile) - return(NULL) - } - - repos <- lockfile$R$Repositories - if (length(repos) == 0) - return(NULL) - - keys <- vapply(repos, `[[`, "Name", FUN.VALUE = character(1)) - vals <- vapply(repos, `[[`, "URL", FUN.VALUE = character(1)) - names(vals) <- keys - - return(vals) - - } - - renv_bootstrap_download <- function(version) { - - sha <- attr(version, "sha", exact = TRUE) - - methods <- if (!is.null(sha)) { - - # attempting to bootstrap a development version of renv - c( - function() renv_bootstrap_download_tarball(sha), - function() renv_bootstrap_download_github(sha) - ) - - } else { - - # attempting to bootstrap a release version of renv - c( - function() renv_bootstrap_download_tarball(version), - function() renv_bootstrap_download_cran_latest(version), - function() renv_bootstrap_download_cran_archive(version) - ) - - } - - for (method in methods) { - path <- tryCatch(method(), error = identity) - if (is.character(path) && file.exists(path)) - return(path) - } - - stop("All download methods failed") - - } - - renv_bootstrap_download_impl <- function(url, destfile) { - - mode <- "wb" - - # https://bugs.r-project.org/bugzilla/show_bug.cgi?id=17715 - fixup <- - Sys.info()[["sysname"]] == "Windows" && - substring(url, 1L, 5L) == "file:" - - if (fixup) - mode <- "w+b" - - args <- list( - url = url, - destfile = destfile, - mode = mode, - quiet = TRUE - ) - - if ("headers" %in% names(formals(utils::download.file))) { - headers <- renv_bootstrap_download_custom_headers(url) - if (length(headers) && is.character(headers)) - args$headers <- headers - } - - do.call(utils::download.file, args) - - } - - renv_bootstrap_download_custom_headers <- function(url) { - - headers <- getOption("renv.download.headers") - if (is.null(headers)) - return(character()) - - if (!is.function(headers)) - stopf("'renv.download.headers' is not a function") - - headers <- headers(url) - if (length(headers) == 0L) - return(character()) - - if (is.list(headers)) - headers <- unlist(headers, recursive = FALSE, use.names = TRUE) - - ok <- - is.character(headers) && - is.character(names(headers)) && - all(nzchar(names(headers))) - - if (!ok) - stop("invocation of 'renv.download.headers' did not return a named character vector") - - headers - - } - - renv_bootstrap_download_cran_latest <- function(version) { - - spec <- renv_bootstrap_download_cran_latest_find(version) - type <- spec$type - repos <- spec$repos - - baseurl <- utils::contrib.url(repos = repos, type = type) - ext <- if (identical(type, "source")) - ".tar.gz" - else if (Sys.info()[["sysname"]] == "Windows") - ".zip" - else - ".tgz" - name <- sprintf("renv_%s%s", version, ext) - url <- paste(baseurl, name, sep = "/") - - destfile <- file.path(tempdir(), name) - status <- tryCatch( - renv_bootstrap_download_impl(url, destfile), - condition = identity - ) - - if (inherits(status, "condition")) - return(FALSE) - - # report success and return - destfile - - } - - renv_bootstrap_download_cran_latest_find <- function(version) { - - # check whether binaries are supported on this system - binary <- - getOption("renv.bootstrap.binary", default = TRUE) && - !identical(.Platform$pkgType, "source") && - !identical(getOption("pkgType"), "source") && - Sys.info()[["sysname"]] %in% c("Darwin", "Windows") - - types <- c(if (binary) "binary", "source") - - # iterate over types + repositories - for (type in types) { - for (repos in renv_bootstrap_repos()) { - - # build arguments for utils::available.packages() call - args <- list(type = type, repos = repos) - - # add custom headers if available -- note that - # utils::available.packages() will pass this to download.file() - if ("headers" %in% names(formals(utils::download.file))) { - headers <- renv_bootstrap_download_custom_headers(repos) - if (length(headers) && is.character(headers)) - args$headers <- headers - } - - # retrieve package database - db <- tryCatch( - as.data.frame( - do.call(utils::available.packages, args), - stringsAsFactors = FALSE - ), - error = identity - ) - - if (inherits(db, "error")) - next - - # check for compatible entry - entry <- db[db$Package %in% "renv" & db$Version %in% version, ] - if (nrow(entry) == 0) - next - - # found it; return spec to caller - spec <- list(entry = entry, type = type, repos = repos) - return(spec) - - } - } - - # if we got here, we failed to find renv - fmt <- "renv %s is not available from your declared package repositories" - stop(sprintf(fmt, version)) - - } - - renv_bootstrap_download_cran_archive <- function(version) { - - name <- sprintf("renv_%s.tar.gz", version) - repos <- renv_bootstrap_repos() - urls <- file.path(repos, "src/contrib/Archive/renv", name) - destfile <- file.path(tempdir(), name) - - for (url in urls) { - - status <- tryCatch( - renv_bootstrap_download_impl(url, destfile), - condition = identity - ) - - if (identical(status, 0L)) - return(destfile) - - } - - return(FALSE) - - } - - renv_bootstrap_download_tarball <- function(version) { - - # if the user has provided the path to a tarball via - # an environment variable, then use it - tarball <- Sys.getenv("RENV_BOOTSTRAP_TARBALL", unset = NA) - if (is.na(tarball)) - return() - - # allow directories - if (dir.exists(tarball)) { - name <- sprintf("renv_%s.tar.gz", version) - tarball <- file.path(tarball, name) - } - - # bail if it doesn't exist - if (!file.exists(tarball)) { - - # let the user know we weren't able to honour their request - fmt <- "- RENV_BOOTSTRAP_TARBALL is set (%s) but does not exist." - msg <- sprintf(fmt, tarball) - warning(msg) - - # bail - return() - - } - - catf("- Using local tarball '%s'.", tarball) - tarball - - } - - renv_bootstrap_github_token <- function() { - for (envvar in c("GITHUB_TOKEN", "GITHUB_PAT", "GH_TOKEN")) { - envval <- Sys.getenv(envvar, unset = NA) - if (!is.na(envval)) - return(envval) - } - } - - renv_bootstrap_download_github <- function(version) { - - enabled <- Sys.getenv("RENV_BOOTSTRAP_FROM_GITHUB", unset = "TRUE") - if (!identical(enabled, "TRUE")) - return(FALSE) - - # prepare download options - token <- renv_bootstrap_github_token() - if (is.null(token)) - token <- "" - - if (nzchar(Sys.which("curl")) && nzchar(token)) { - fmt <- "--location --fail --header \"Authorization: token %s\"" - extra <- sprintf(fmt, token) - saved <- options("download.file.method", "download.file.extra") - options(download.file.method = "curl", download.file.extra = extra) - on.exit(do.call(base::options, saved), add = TRUE) - } else if (nzchar(Sys.which("wget")) && nzchar(token)) { - fmt <- "--header=\"Authorization: token %s\"" - extra <- sprintf(fmt, token) - saved <- options("download.file.method", "download.file.extra") - options(download.file.method = "wget", download.file.extra = extra) - on.exit(do.call(base::options, saved), add = TRUE) - } - - url <- file.path("https://api.github.com/repos/rstudio/renv/tarball", version) - name <- sprintf("renv_%s.tar.gz", version) - destfile <- file.path(tempdir(), name) - - status <- tryCatch( - renv_bootstrap_download_impl(url, destfile), - condition = identity - ) - - if (!identical(status, 0L)) - return(FALSE) - - renv_bootstrap_download_augment(destfile) - - return(destfile) - - } - - # Add Sha to DESCRIPTION. This is stop gap until #890, after which we - # can use renv::install() to fully capture metadata. - renv_bootstrap_download_augment <- function(destfile) { - sha <- renv_bootstrap_git_extract_sha1_tar(destfile) - if (is.null(sha)) { - return() - } - - # Untar - tempdir <- tempfile("renv-github-") - on.exit(unlink(tempdir, recursive = TRUE), add = TRUE) - untar(destfile, exdir = tempdir) - pkgdir <- dir(tempdir, full.names = TRUE)[[1]] - - # Modify description - desc_path <- file.path(pkgdir, "DESCRIPTION") - desc_lines <- readLines(desc_path) - remotes_fields <- c( - "RemoteType: github", - "RemoteHost: api.github.com", - "RemoteRepo: renv", - "RemoteUsername: rstudio", - "RemotePkgRef: rstudio/renv", - paste("RemoteRef: ", sha), - paste("RemoteSha: ", sha) - ) - writeLines(c(desc_lines[desc_lines != ""], remotes_fields), con = desc_path) - - # Re-tar - local({ - old <- setwd(tempdir) - on.exit(setwd(old), add = TRUE) - - tar(destfile, compression = "gzip") - }) - invisible() - } - - # Extract the commit hash from a git archive. Git archives include the SHA1 - # hash as the comment field of the tarball pax extended header - # (see https://www.kernel.org/pub/software/scm/git/docs/git-archive.html) - # For GitHub archives this should be the first header after the default one - # (512 byte) header. - renv_bootstrap_git_extract_sha1_tar <- function(bundle) { - - # open the bundle for reading - # We use gzcon for everything because (from ?gzcon) - # > Reading from a connection which does not supply a 'gzip' magic - # > header is equivalent to reading from the original connection - conn <- gzcon(file(bundle, open = "rb", raw = TRUE)) - on.exit(close(conn)) - - # The default pax header is 512 bytes long and the first pax extended header - # with the comment should be 51 bytes long - # `52 comment=` (11 chars) + 40 byte SHA1 hash - len <- 0x200 + 0x33 - res <- rawToChar(readBin(conn, "raw", n = len)[0x201:len]) - - if (grepl("^52 comment=", res)) { - sub("52 comment=", "", res) - } else { - NULL - } - } - - renv_bootstrap_install <- function(version, tarball, library) { - - # attempt to install it into project library - dir.create(library, showWarnings = FALSE, recursive = TRUE) - output <- renv_bootstrap_install_impl(library, tarball) - - # check for successful install - status <- attr(output, "status") - if (is.null(status) || identical(status, 0L)) - return(status) - - # an error occurred; report it - header <- "installation of renv failed" - lines <- paste(rep.int("=", nchar(header)), collapse = "") - text <- paste(c(header, lines, output), collapse = "\n") - stop(text) - - } - - renv_bootstrap_install_impl <- function(library, tarball) { - - # invoke using system2 so we can capture and report output - bin <- R.home("bin") - exe <- if (Sys.info()[["sysname"]] == "Windows") "R.exe" else "R" - R <- file.path(bin, exe) - - args <- c( - "--vanilla", "CMD", "INSTALL", "--no-multiarch", - "-l", shQuote(path.expand(library)), - shQuote(path.expand(tarball)) - ) - - system2(R, args, stdout = TRUE, stderr = TRUE) - - } - - renv_bootstrap_platform_prefix_default <- function() { - - # read version component - version <- Sys.getenv("RENV_PATHS_VERSION", unset = "R-%v") - - # expand placeholders - placeholders <- list( - list("%v", format(getRversion()[1, 1:2])), - list("%V", format(getRversion()[1, 1:3])) - ) - - for (placeholder in placeholders) - version <- gsub(placeholder[[1L]], placeholder[[2L]], version, fixed = TRUE) - - # include SVN revision for development versions of R - # (to avoid sharing platform-specific artefacts with released versions of R) - devel <- - identical(R.version[["status"]], "Under development (unstable)") || - identical(R.version[["nickname"]], "Unsuffered Consequences") - - if (devel) - version <- paste(version, R.version[["svn rev"]], sep = "-r") - - version - - } - - renv_bootstrap_platform_prefix <- function() { - - # construct version prefix - version <- renv_bootstrap_platform_prefix_default() - - # build list of path components - components <- c(version, R.version$platform) - - # include prefix if provided by user - prefix <- renv_bootstrap_platform_prefix_impl() - if (!is.na(prefix) && nzchar(prefix)) - components <- c(prefix, components) - - # build prefix - paste(components, collapse = "/") - - } - - renv_bootstrap_platform_prefix_impl <- function() { - - # if an explicit prefix has been supplied, use it - prefix <- Sys.getenv("RENV_PATHS_PREFIX", unset = NA) - if (!is.na(prefix)) - return(prefix) - - # if the user has requested an automatic prefix, generate it - auto <- Sys.getenv("RENV_PATHS_PREFIX_AUTO", unset = NA) - if (is.na(auto) && getRversion() >= "4.4.0") - auto <- "TRUE" - - if (auto %in% c("TRUE", "True", "true", "1")) - return(renv_bootstrap_platform_prefix_auto()) - - # empty string on failure - "" - - } - - renv_bootstrap_platform_prefix_auto <- function() { - - prefix <- tryCatch(renv_bootstrap_platform_os(), error = identity) - if (inherits(prefix, "error") || prefix %in% "unknown") { - - msg <- paste( - "failed to infer current operating system", - "please file a bug report at https://github.com/rstudio/renv/issues", - sep = "; " - ) - - warning(msg) - - } - - prefix - - } - - renv_bootstrap_platform_os <- function() { - - sysinfo <- Sys.info() - sysname <- sysinfo[["sysname"]] - - # handle Windows + macOS up front - if (sysname == "Windows") - return("windows") - else if (sysname == "Darwin") - return("macos") - - # check for os-release files - for (file in c("/etc/os-release", "/usr/lib/os-release")) - if (file.exists(file)) - return(renv_bootstrap_platform_os_via_os_release(file, sysinfo)) - - # check for redhat-release files - if (file.exists("/etc/redhat-release")) - return(renv_bootstrap_platform_os_via_redhat_release()) - - "unknown" - - } - - renv_bootstrap_platform_os_via_os_release <- function(file, sysinfo) { - - # read /etc/os-release - release <- utils::read.table( - file = file, - sep = "=", - quote = c("\"", "'"), - col.names = c("Key", "Value"), - comment.char = "#", - stringsAsFactors = FALSE - ) - - vars <- as.list(release$Value) - names(vars) <- release$Key - - # get os name - os <- tolower(sysinfo[["sysname"]]) - - # read id - id <- "unknown" - for (field in c("ID", "ID_LIKE")) { - if (field %in% names(vars) && nzchar(vars[[field]])) { - id <- vars[[field]] - break - } - } - - # read version - version <- "unknown" - for (field in c("UBUNTU_CODENAME", "VERSION_CODENAME", "VERSION_ID", "BUILD_ID")) { - if (field %in% names(vars) && nzchar(vars[[field]])) { - version <- vars[[field]] - break - } - } - - # join together - paste(c(os, id, version), collapse = "-") - - } - - renv_bootstrap_platform_os_via_redhat_release <- function() { - - # read /etc/redhat-release - contents <- readLines("/etc/redhat-release", warn = FALSE) - - # infer id - id <- if (grepl("centos", contents, ignore.case = TRUE)) - "centos" - else if (grepl("redhat", contents, ignore.case = TRUE)) - "redhat" - else - "unknown" - - # try to find a version component (very hacky) - version <- "unknown" - - parts <- strsplit(contents, "[[:space:]]")[[1L]] - for (part in parts) { - - nv <- tryCatch(numeric_version(part), error = identity) - if (inherits(nv, "error")) - next - - version <- nv[1, 1] - break - - } - - paste(c("linux", id, version), collapse = "-") - - } - - renv_bootstrap_library_root_name <- function(project) { - - # use project name as-is if requested - asis <- Sys.getenv("RENV_PATHS_LIBRARY_ROOT_ASIS", unset = "FALSE") - if (asis) - return(basename(project)) - - # otherwise, disambiguate based on project's path - id <- substring(renv_bootstrap_hash_text(project), 1L, 8L) - paste(basename(project), id, sep = "-") - - } - - renv_bootstrap_library_root <- function(project) { - - prefix <- renv_bootstrap_profile_prefix() - - path <- Sys.getenv("RENV_PATHS_LIBRARY", unset = NA) - if (!is.na(path)) - return(paste(c(path, prefix), collapse = "/")) - - path <- renv_bootstrap_library_root_impl(project) - if (!is.null(path)) { - name <- renv_bootstrap_library_root_name(project) - return(paste(c(path, prefix, name), collapse = "/")) - } - - renv_bootstrap_paths_renv("library", project = project) - - } - - renv_bootstrap_library_root_impl <- function(project) { - - root <- Sys.getenv("RENV_PATHS_LIBRARY_ROOT", unset = NA) - if (!is.na(root)) - return(root) - - type <- renv_bootstrap_project_type(project) - if (identical(type, "package")) { - userdir <- renv_bootstrap_user_dir() - return(file.path(userdir, "library")) - } - - } - - renv_bootstrap_validate_version <- function(version, description = NULL) { - - # resolve description file - # - # avoid passing lib.loc to `packageDescription()` below, since R will - # use the loaded version of the package by default anyhow. note that - # this function should only be called after 'renv' is loaded - # https://github.com/rstudio/renv/issues/1625 - description <- description %||% packageDescription("renv") - - # check whether requested version 'version' matches loaded version of renv - sha <- attr(version, "sha", exact = TRUE) - valid <- if (!is.null(sha)) - renv_bootstrap_validate_version_dev(sha, description) - else - renv_bootstrap_validate_version_release(version, description) - - if (valid) - return(TRUE) - - # the loaded version of renv doesn't match the requested version; - # give the user instructions on how to proceed - dev <- identical(description[["RemoteType"]], "github") - remote <- if (dev) - paste("rstudio/renv", description[["RemoteSha"]], sep = "@") - else - paste("renv", description[["Version"]], sep = "@") - - # display both loaded version + sha if available - friendly <- renv_bootstrap_version_friendly( - version = description[["Version"]], - sha = if (dev) description[["RemoteSha"]] - ) - - fmt <- heredoc(" - renv %1$s was loaded from project library, but this project is configured to use renv %2$s. - - Use `renv::record(\"%3$s\")` to record renv %1$s in the lockfile. - - Use `renv::restore(packages = \"renv\")` to install renv %2$s into the project library. - ") - catf(fmt, friendly, renv_bootstrap_version_friendly(version), remote) - - FALSE - - } - - renv_bootstrap_validate_version_dev <- function(version, description) { - - expected <- description[["RemoteSha"]] - if (!is.character(expected)) - return(FALSE) - - pattern <- sprintf("^\\Q%s\\E", version) - grepl(pattern, expected, perl = TRUE) - - } - - renv_bootstrap_validate_version_release <- function(version, description) { - expected <- description[["Version"]] - is.character(expected) && identical(expected, version) - } - - renv_bootstrap_hash_text <- function(text) { - - hashfile <- tempfile("renv-hash-") - on.exit(unlink(hashfile), add = TRUE) - - writeLines(text, con = hashfile) - tools::md5sum(hashfile) - - } - - renv_bootstrap_load <- function(project, libpath, version) { - - # try to load renv from the project library - if (!requireNamespace("renv", lib.loc = libpath, quietly = TRUE)) - return(FALSE) - - # warn if the version of renv loaded does not match - renv_bootstrap_validate_version(version) - - # execute renv load hooks, if any - hooks <- getHook("renv::autoload") - for (hook in hooks) - if (is.function(hook)) - tryCatch(hook(), error = warnify) - - # load the project - renv::load(project) - - TRUE - - } - - renv_bootstrap_profile_load <- function(project) { - - # if RENV_PROFILE is already set, just use that - profile <- Sys.getenv("RENV_PROFILE", unset = NA) - if (!is.na(profile) && nzchar(profile)) - return(profile) - - # check for a profile file (nothing to do if it doesn't exist) - path <- renv_bootstrap_paths_renv("profile", profile = FALSE, project = project) - if (!file.exists(path)) - return(NULL) - - # read the profile, and set it if it exists - contents <- readLines(path, warn = FALSE) - if (length(contents) == 0L) - return(NULL) - - # set RENV_PROFILE - profile <- contents[[1L]] - if (!profile %in% c("", "default")) - Sys.setenv(RENV_PROFILE = profile) - - profile - - } - - renv_bootstrap_profile_prefix <- function() { - profile <- renv_bootstrap_profile_get() - if (!is.null(profile)) - return(file.path("profiles", profile, "renv")) - } - - renv_bootstrap_profile_get <- function() { - profile <- Sys.getenv("RENV_PROFILE", unset = "") - renv_bootstrap_profile_normalize(profile) - } - - renv_bootstrap_profile_set <- function(profile) { - profile <- renv_bootstrap_profile_normalize(profile) - if (is.null(profile)) - Sys.unsetenv("RENV_PROFILE") - else - Sys.setenv(RENV_PROFILE = profile) - } - - renv_bootstrap_profile_normalize <- function(profile) { - - if (is.null(profile) || profile %in% c("", "default")) - return(NULL) - - profile - - } - - renv_bootstrap_path_absolute <- function(path) { - - substr(path, 1L, 1L) %in% c("~", "/", "\\") || ( - substr(path, 1L, 1L) %in% c(letters, LETTERS) && - substr(path, 2L, 3L) %in% c(":/", ":\\") - ) - - } - - renv_bootstrap_paths_renv <- function(..., profile = TRUE, project = NULL) { - renv <- Sys.getenv("RENV_PATHS_RENV", unset = "renv") - root <- if (renv_bootstrap_path_absolute(renv)) NULL else project - prefix <- if (profile) renv_bootstrap_profile_prefix() - components <- c(root, renv, prefix, ...) - paste(components, collapse = "/") - } - - renv_bootstrap_project_type <- function(path) { - - descpath <- file.path(path, "DESCRIPTION") - if (!file.exists(descpath)) - return("unknown") - - desc <- tryCatch( - read.dcf(descpath, all = TRUE), - error = identity - ) - - if (inherits(desc, "error")) - return("unknown") - - type <- desc$Type - if (!is.null(type)) - return(tolower(type)) - - package <- desc$Package - if (!is.null(package)) - return("package") - - "unknown" - - } - - renv_bootstrap_user_dir <- function() { - dir <- renv_bootstrap_user_dir_impl() - path.expand(chartr("\\", "/", dir)) - } - - renv_bootstrap_user_dir_impl <- function() { - - # use local override if set - override <- getOption("renv.userdir.override") - if (!is.null(override)) - return(override) - - # use R_user_dir if available - tools <- asNamespace("tools") - if (is.function(tools$R_user_dir)) - return(tools$R_user_dir("renv", "cache")) - - # try using our own backfill for older versions of R - envvars <- c("R_USER_CACHE_DIR", "XDG_CACHE_HOME") - for (envvar in envvars) { - root <- Sys.getenv(envvar, unset = NA) - if (!is.na(root)) - return(file.path(root, "R/renv")) - } - - # use platform-specific default fallbacks - if (Sys.info()[["sysname"]] == "Windows") - file.path(Sys.getenv("LOCALAPPDATA"), "R/cache/R/renv") - else if (Sys.info()[["sysname"]] == "Darwin") - "~/Library/Caches/org.R-project.R/R/renv" - else - "~/.cache/R/renv" - - } - - renv_bootstrap_version_friendly <- function(version, shafmt = NULL, sha = NULL) { - sha <- sha %||% attr(version, "sha", exact = TRUE) - parts <- c(version, sprintf(shafmt %||% " [sha: %s]", substring(sha, 1L, 7L))) - paste(parts, collapse = "") - } - - renv_bootstrap_exec <- function(project, libpath, version) { - if (!renv_bootstrap_load(project, libpath, version)) - renv_bootstrap_run(project, libpath, version) - } - - renv_bootstrap_run <- function(project, libpath, version) { - - # perform bootstrap - bootstrap(version, libpath) - - # exit early if we're just testing bootstrap - if (!is.na(Sys.getenv("RENV_BOOTSTRAP_INSTALL_ONLY", unset = NA))) - return(TRUE) - - # try again to load - if (requireNamespace("renv", lib.loc = libpath, quietly = TRUE)) { - return(renv::load(project = project)) - } - - # failed to download or load renv; warn the user - msg <- c( - "Failed to find an renv installation: the project will not be loaded.", - "Use `renv::activate()` to re-initialize the project." - ) - - warning(paste(msg, collapse = "\n"), call. = FALSE) - - } - - renv_json_read <- function(file = NULL, text = NULL) { - - jlerr <- NULL - - # if jsonlite is loaded, use that instead - if ("jsonlite" %in% loadedNamespaces()) { - - json <- tryCatch(renv_json_read_jsonlite(file, text), error = identity) - if (!inherits(json, "error")) - return(json) - - jlerr <- json - - } - - # otherwise, fall back to the default JSON reader - json <- tryCatch(renv_json_read_default(file, text), error = identity) - if (!inherits(json, "error")) - return(json) - - # report an error - if (!is.null(jlerr)) - stop(jlerr) - else - stop(json) - - } - - renv_json_read_jsonlite <- function(file = NULL, text = NULL) { - text <- paste(text %||% readLines(file, warn = FALSE), collapse = "\n") - jsonlite::fromJSON(txt = text, simplifyVector = FALSE) - } - - renv_json_read_patterns <- function() { - - list( - - # objects - list("{", "\t\n\tobject(\t\n\t", TRUE), - list("}", "\t\n\t)\t\n\t", TRUE), - - # arrays - list("[", "\t\n\tarray(\t\n\t", TRUE), - list("]", "\n\t\n)\n\t\n", TRUE), - - # maps - list(":", "\t\n\t=\t\n\t", TRUE), - - # newlines - list("\\u000a", "\n", FALSE) - - ) - - } - - renv_json_read_envir <- function() { - - envir <- new.env(parent = emptyenv()) - - envir[["+"]] <- `+` - envir[["-"]] <- `-` - - envir[["object"]] <- function(...) { - result <- list(...) - names(result) <- as.character(names(result)) - result - } - - envir[["array"]] <- list - - envir[["true"]] <- TRUE - envir[["false"]] <- FALSE - envir[["null"]] <- NULL - - envir - - } - - renv_json_read_remap <- function(object, patterns) { - - # repair names if necessary - if (!is.null(names(object))) { - - nms <- names(object) - for (pattern in patterns) - nms <- gsub(pattern[[2L]], pattern[[1L]], nms, fixed = TRUE) - names(object) <- nms - - } - - # repair strings if necessary - if (is.character(object)) { - for (pattern in patterns) - object <- gsub(pattern[[2L]], pattern[[1L]], object, fixed = TRUE) - } - - # recurse for other objects - if (is.recursive(object)) - for (i in seq_along(object)) - object[i] <- list(renv_json_read_remap(object[[i]], patterns)) - - # return remapped object - object - - } - - renv_json_read_default <- function(file = NULL, text = NULL) { - - # read json text - text <- paste(text %||% readLines(file, warn = FALSE), collapse = "\n") - - # convert into something the R parser will understand - patterns <- renv_json_read_patterns() - transformed <- text - for (pattern in patterns) - transformed <- gsub(pattern[[1L]], pattern[[2L]], transformed, fixed = TRUE) - - # parse it - rfile <- tempfile("renv-json-", fileext = ".R") - on.exit(unlink(rfile), add = TRUE) - writeLines(transformed, con = rfile) - json <- parse(rfile, keep.source = FALSE, srcfile = NULL)[[1L]] - - # evaluate in safe environment - result <- eval(json, envir = renv_json_read_envir()) - - # fix up strings if necessary -- do so only with reversible patterns - patterns <- Filter(function(pattern) pattern[[3L]], patterns) - renv_json_read_remap(result, patterns) - - } - - - # load the renv profile, if any - renv_bootstrap_profile_load(project) - - # construct path to library root - root <- renv_bootstrap_library_root(project) - - # construct library prefix for platform - prefix <- renv_bootstrap_platform_prefix() - - # construct full libpath - libpath <- file.path(root, prefix) - - # run bootstrap code - renv_bootstrap_exec(project, libpath, version) - - invisible() - -}) diff --git a/src/RcppExports.o b/src/RcppExports.o index e7b7b2276cd07341d7fc47c93f360007323ce0cd..c45eb19c536baf3822525c8898a1937b030547fd 100644 GIT binary patch literal 1347505 zcmeFa4R{@8o%cVd%_(V{(gPLlR6A3oRSk*rpiR zf`K-gkVcPei(RdnWvfrur?SzlJf#*qK$ljZu4b|BMz@QRtv;#gu37D_S)OYD-`{=T zGxNJ&Qoxu0wg2nyT-RhyW*dA`@$cGb$|oy!9VM<4rwQ=a#Y<&vwx|0S=rdeyBPHsEKtjZO=H zhCjN!w(8ZH@L%yGfxj)V$2ULG+IDrOk)QHv@!v9oD1hm9=yyz_pmVsl26o8r&VGZn`lCsc<9RrvC{46+cAyrLz`S26vySn=Wb` z#qVOno{Zm2imOmKuQWKJn<;1!Ozvw3x6{hVUpy#^e4gFK1BRZa3hL4ANQ5KWa+97ojZyIxA?z2Z|e$~{x&M^>Rd*PU;3xv|KbnZ zggEBer43{Br zKeBYwjocsP-vfp{shiI70*3r?(%__SMk^4An*>+0#>hvFnJf?I61bXQc;01-i{dw< zB~-Gv5FFp6ZdNN0h-(G6z|zeYc*5@hw+!676i4;6^lwhf=w$DRQ#V(jFbg)~M!>DN zbn{w9DuFu=uA;cGerwFU6fmEfMXbc=azuLRu=!=BJhC9U)_WN<<^l}wxI?*O<_Q#X~&^K?)CJ#5&M zx{XQBQ9c?oIH}v1HsfOg+%GNN#vD&qCD=P{*i*Vi(_YgVz-*Jcsg%i;!CiWXo{z3t 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