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Bioconductor - pengls

This is the released version of pengls; for the devel version, see pengls.

Bioconductor version: Release (3.21)

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] ORCID: 0000-0002-4501-5180

Maintainer: Stijn Hawinkel <stijn.hawinkel at psb.ugent.be>

To install this package, start R (version "4.5") and enter:

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

BiocManager::install("pengls")

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

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

browseVignettes("pengls")

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

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