pengls

DOI: 10.18129/B9.bioc.pengls    

Fit Penalised Generalised Least Squares models

Bioconductor version: Release (3.14)

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")):

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("pengls")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("pengls")

 

HTML R Script Vignette of the pengls package
PDF   Reference Manual
Text   NEWS

Details

biocViews Regression, Software, TimeCourse, Transcriptomics
Version 1.0.0
In Bioconductor since BioC 3.14 (R-4.1) (< 6 months)
License GPL-2
Depends R (>= 4.0)
Imports glmnet, nlme, stats, BiocParallel
LinkingTo
Suggests knitr, rmarkdown, testthat
SystemRequirements
Enhances
URL
BugReports https://github.com/sthawinke/pengls
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package pengls_1.0.0.tar.gz
Windows Binary pengls_1.0.0.zip
macOS 10.13 (High Sierra) pengls_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/pengls
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/pengls
Package Short Url https://bioconductor.org/packages/pengls/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.14 Source Archive

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: