DOI: 10.18129/B9.bioc.pengls  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see pengls.

Fit Penalised Generalised Least Squares models

Bioconductor version: 3.17

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>

Citation (from within R, enter citation("pengls")):


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biocViews Regression, Software, Spatial, TimeCourse, Transcriptomics
Version 1.6.0
In Bioconductor since BioC 3.14 (R-4.1) (2 years)
License GPL-2
Depends R (>= 4.2.0)
Imports glmnet, nlme, stats, BiocParallel
Suggests knitr, rmarkdown, testthat
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