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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) <doi:10.48550/arXiv.2101.03875>.
| Version: | 1.1-1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | glmnet, stats, Matrix, multiridge (≥ 1.5), mvtnorm |
| Suggests: | ggplot2, ecpc |
| Published: | 2022-05-13 |
| 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_1.1-1.tar.gz |
| Windows binaries: | r-devel: squeezy_1.1-1.zip, r-release: squeezy_1.1-1.zip, r-oldrel: squeezy_1.1-1.zip |
| macOS binaries: | r-release (arm64): squeezy_1.1-1.tgz, r-oldrel (arm64): squeezy_1.1-1.tgz, r-release (x86_64): squeezy_1.1-1.tgz, r-oldrel (x86_64): squeezy_1.1-1.tgz |
| Old sources: | squeezy archive |
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