squeezy: Group-Adaptive Elastic Net Penalised Generalised Linear Models

Fit linear and logistic regression models penalised with group-adaptive elastic net penalties. The group penalties correspond to groups of covariates defined by a co-data group set. The method accommodates inclusion of unpenalised covariates and overlapping groups. See Van Nee et al. (2021) <arXiv:2101.03875>.

Version: 1.0
Depends: R (≥ 3.5.0)
Imports: glmnet, stats, Matrix, multiridge (≥ 1.5), mvtnorm
Suggests: ggplot2, ecpc
Published: 2021-07-07
Author: Mirrelijn M. van Nee [aut, cre], Tim van de Brug [aut], Mark A. van de Wiel [aut]
Maintainer: Mirrelijn M. van Nee <m.vannee at amsterdamumc.nl>
License: GPL (≥ 3)
URL: https://arxiv.org/abs/2101.03875
NeedsCompilation: no
CRAN checks: squeezy results


Reference manual: squeezy.pdf


Package source: squeezy_1.0.tar.gz
Windows binaries: r-devel: squeezy_1.0.zip, r-release: squeezy_1.0.zip, r-oldrel: squeezy_1.0.zip
macOS binaries: r-release (arm64): squeezy_1.0.tgz, r-release (x86_64): squeezy_1.0.tgz, r-oldrel: squeezy_1.0.tgz


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