pengls
This is the development version of pengls; for the stable release version, see pengls.
All Bioconductor versions of pengls
3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14
Fit Penalised Generalised Least Squares models
Bioconductor version: 3.24 · Package version: 1.19.0
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.
Author: Stijn Hawinkel [cre, aut] 
Maintainer: Stijn Hawinkel <stijn.hawinkel at psb.ugent.be>
Citation
From within R, enter citation("pengls"):
Stijn Hawinkel. pengls: Fit Penalised Generalised Least Squares models. doi:10.18129/B9.bioc.pengls, R package version 1.19.0, https://bioconductor.org/packages/pengls.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("pengls")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 1.19.0 |
| License | GPL-2 |
| URL | https://github.com/sthawinke/pengls |
| Bug Reports | https://github.com/sthawinke/pengls/issues |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 3.14 (R-4.1) (4 years) |
| Downloads rank | 2174 of 2,456 |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | Regression, Software, Spatial, TimeCourse, Transcriptomics |
| Package Short Url | https://bioconductor.org/packages/pengls/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("pengls")| Vignette of the pengls package | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | pengls_1.19.0.tar.gz |
| Windows binary (x86_64) | pengls_1.19.0.zip |
| macOS binary (arm64) | pengls_1.19.0.tgz |
| macOS binary (x86_64) | pengls_1.19.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/pengls |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/pengls |
| Package Downloads Report | Download Stats |