Package: pengls
Type: Package
Title: Fit Penalised Generalised Least Squares models
Version: 1.2.0
Authors@R: 
    c(person(given = "Stijn", family = "Hawinkel", 
    email = "stijn.hawinkel@psb.ugent.be", 
    role=c("cre", "aut"), comment = c(ORCID = "0000-0002-4501-5180")))
Description: Combine generalised least squares methodology from the nlme package 
    for dealing with autocorrelation with penalised least squares methods from 
    the glmnet package to deal with high dimensionality. This pengls packages glues 
    them together through an iterative loop. The resulting method is applicable to 
    high dimensional datasets that exhibit autocorrelation, such as spatial or temporal data.
License: GPL-2
Encoding: UTF-8
RoxygenNote: 7.1.2
Imports: glmnet, nlme, stats, BiocParallel
Suggests: knitr,rmarkdown,testthat
VignetteBuilder: knitr
Depends: R (>= 4.0)
biocViews: Transcriptomics, Regression, TimeCourse
BugReports: https://github.com/sthawinke/pengls
git_url: https://git.bioconductor.org/packages/pengls
git_branch: RELEASE_3_15
git_last_commit: 0cbde07
git_last_commit_date: 2022-04-26
Date/Publication: 2022-04-26
NeedsCompilation: no
Packaged: 2022-04-27 00:25:42 UTC; biocbuild
Author: Stijn Hawinkel [cre, aut] (<https://orcid.org/0000-0002-4501-5180>)
Maintainer: Stijn Hawinkel <stijn.hawinkel@psb.ugent.be>
Built: R 4.2.0; ; 2022-04-27 09:52:43 UTC; windows
