bump to development version

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: ssdtools
 Title: Species Sensitivity Distributions
-Version: 2.4.0
+Version: 2.4.0.9000
 Authors@R: c(
     person("Joe", "Thorley", , "joe@poissonconsulting.ca", role = c("aut", "cre"),
            comment = c(ORCID = "0000-0002-7683-4592")),

NEWS.md

@@ -1,5 +1,9 @@
 <!-- NEWS.md is maintained by https://fledge.cynkra.com, contributors should not edit this file -->
 
+# ssdtools 2.4.0.9000
+
+- Added following `ci_methods` to `ssd_hc()`, `ssd_hp()` and `predict()`: `"GMACL"`, `"MAW1"`, `"MAW2"`, `"GMAW1"`, `"GMAW2"`, `"arithmetic_samples"` and `"geometric_samples"`.
+
 # ssdtools 2.4.0
 
 ## Features

R/params.R

@@ -43,6 +43,16 @@
 #' The value `ci_method = "MACL"` (was `ci_method = "weighted_arithmetic"` but 
 #' has been soft-deprecated) which is only included for
 #' historical reasons takes the weighted arithmetic mean of the confidence
+#' limits and `ci_method = MGCL` which was included for a research paper
+#' takes the weighted geometric mean of the confidence limits.
+#' The values `ci_method = "MAW1"` and `ci_method = "MAW2"`
+#' use the two alternative equations of Burnham and Anderson to 
+#' model average the weighted standard errors and then calculate the confidence
+#' limits using the Wald approach. 
+#' Finally `ci_method = "arithmetic"` and `ci_method = "geometric"`
+#' take the weighted arithmetic or geometric mean of the values for 
+#' each bootstrap iteration across all the distributions and then
+#' calculate the confidence limits (and SE) from the single set of samples.
 #' limits.
 #' @param censoring A numeric vector of the left and right censoring values.
 #' @param color A string of the column in data for the color aesthetic.