DESCRIPTION

Package: GridLMM
Type: Package
Title: Efficient Mixed Models for GWAS with multiple Random Effects
Version: 0.0.0.9000
Date: 2018-06-30
Author: Daniel E Runcie
Maintainer: Daniel Runcie <deruncie@ucdavis.edu>
Description: Fits approximate Linear Mixed Models with multiple random effects. The 
    fitting process is optimized for repeated evaluation of the random effect
    model with different sets of fixed effects, ex. for GWAS analyses. The approximation
    is due to the use of a discrete grid of possible values for the random effect variance
    component proportions. We include functions for both frequentist and Bayesian GWAS, 
    (Restricted) Maximum Likelihood evaluation, Bayesian Posterior inference of variance components,
    and Lasso/Elastic Net fitting of high-dimensional models with random effects.
License: MIT + file LICENSE
Imports:
    Rcpp (>= 0.12.16), 
    RcppEigen (>= 0.3.3.4.0),
    methods,
    Matrix, 
    data.table, 
    lme4, 
    glmnet, 
    doParallel, 
    parallel,
    foreach,
    iterators,
    itertools,
    RcppParallel
LinkingTo: Rcpp, RcppEigen
ByteCompile: TRUE
RoxygenNote: 7.3.2
Suggests: knitr,
    rmarkdown,
    qqman,
    KRLS,
    snpStats
VignetteBuilder: knitr