DESCRIPTION

Package: glmtlp
Type: Package
Title: Generalized Linear Models with Truncated Lasso Penalty
Version: 3.0.0
Date: 2022-08-28
Authors@R: c(
    person("Chunlin", "Li", , "li000007@umn.edu", role = c("aut", "cph"),
           comment = c(ORCID = "0000-0003-2989-8785")),
    person("Yu", "Yang", , "yang6367@umn.edu", role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0001-7355-6702")),
    person("Chong", "Wu", role = c("aut", "cph"),
           comment = c(ORCID = "0000-0002-8400-1785")),
    person("Xiaotong", "Shen", role = c("ths", "cph")),
    person("Wei", "Pan", role = c("ths", "cph"))
  )
URL: https://yuyangyy.com/glmtlp/
Depends: R (>= 3.5.0)
Imports: Rcpp, foreach, doParallel, ggplot2, bigmemory, Matrix
LinkingTo: Rcpp, RcppEigen, bigmemory, BH
Suggests: 
    rmarkdown,
    knitr,
    testthat (>= 3.0.0)
Description: Extremely efficient procedures for constrained likelihood estimation and inference with truncated lasso penalty for linear, generalized linear, and Gaussian graphical models. This version supports regression from summary statistics and out-of-core model fitting using an ultrahigh-dimensional, multi-gigabyte datasets that cannot be loaded into memory. It's highly optimized and much more memory-efficient as compared to existing penalized regression packages like 'glmnet' and 'ncvreg'. 
SystemRequirements: C++17
Encoding: UTF-8
License: GPL-3 + file LICENSE
LazyData: true
RoxygenNote: 7.2.1
VignetteBuilder: knitr
Config/testthat/edition: 3