DESCRIPTION

Package: ggmix
Type: Package
Title: A General Framework for Variable Selection in Linear Mixed Models with Applications to Genetic Studies with Structured Populations
Version: 0.0.0.9000
Authors@R: c(
  person("Sahir", "Bhatnagar", email = "sahir.bhatnagar@gmail.com",
  role = c("aut", "cre"), comment = "https://sahirbhatnagar.com/"),
  person("Karim", "Oualkacha", email = "oualkacha.karim@uqam.ca",
  role = c("aut"), comment = "http://karimoualkacha.uqam.ca/"),
  person("Yi", "Yang", email = "yi.yang6@mcgill.ca",
  role = c("aut"), comment = "http://www.math.mcgill.ca/yyang/"),
  person("Celia", "Greenwood", email = "celia.greenwood@mcgill.ca",
  role = c("aut"), comment = "http://www.mcgill.ca/statisticalgenetics/")
  )
Description: Fit penalized multi variable linear mixed models with a single 
    random effect to control for population structure in genetic association 
    studies. This is a flexible framework which allows for both lasso and group 
    lasso penalties. A low rank estimation procedure is implemented when the 
    matrix of SNPs used to estimate the kinship matrix is not full rank. 
    Can also handle prior annotation information, for example, rare variants, 
    in the form of weights.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.4.0)
Imports:
    glmnet, 
    methods,
    stats,
    MASS,
    Matrix
Suggests: 
    RSpectra,
    popkin,
    bnpsd,
    testthat,
    covr,
    vdiffr,
    knitr,
    rmarkdown
BugReports: https://github.com/sahirbhatnagar/ggmix/issues
URL: https://github.com/sahirbhatnagar/ggmix
RoxygenNote: 6.1.1
VignetteBuilder: knitr