Package: pengls
Type: Package
Title: Fit Penalised Generalised Least Squares models
Version: 1.18.0
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: 7.3.3
Imports: glmnet, nlme, stats, BiocParallel
Suggests: knitr,rmarkdown,testthat
VignetteBuilder: knitr
Depends: R (>= 4.5.0)
biocViews: Transcriptomics, Regression, TimeCourse, Spatial
BugReports: https://github.com/sthawinke/pengls/issues
URL: https://github.com/sthawinke/pengls
Repository: Bioconductor 3.23
Date/Publication: 2026-04-28 12:57:28 UTC
RemoteUrl: https://github.com/bioc/pengls
RemoteRef: RELEASE_3_23
RemoteSha: b8b4f18d0f840c14a3e9a27128f4e2effb20abba
NeedsCompilation: no
Packaged: 2026-07-04 19:15:53 UTC; root
Author: Stijn Hawinkel [cre, aut] (ORCID:
    <https://orcid.org/0000-0002-4501-5180>)
Maintainer: Stijn Hawinkel <stijn.hawinkel@psb.ugent.be>