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cff-version: 1.2.0
message: 'To cite package "pengls" in publications use:'
type: software
license: GPL-2.0-only
title: 'pengls: Fit Penalised Generalised Least Squares models'
version: 1.11.0
doi: 10.32614/CRAN.package.pengls
abstract: 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.
authors:
- family-names: Hawinkel
  given-names: Stijn
  email: stijn.hawinkel@psb.ugent.be
  orcid: https://orcid.org/0000-0002-4501-5180
repository: https://bioc.r-universe.dev
repository-code: https://github.com/sthawinke/pengls
commit: 0b774d47c0b2c06d42318b6025cb1d6e9ec795b9
url: https://github.com/sthawinke/pengls
contact:
- family-names: Hawinkel
  given-names: Stijn
  email: stijn.hawinkel@psb.ugent.be
  orcid: https://orcid.org/0000-0002-4501-5180