easy.glmnet: Functions to Simplify the Use of 'glmnet' for Machine Learning
Provides several functions to simplify using the 'glmnet' package: converting data frames into matrices ready for 'glmnet'; b) imputing missing variables multiple times; c) fitting and applying prediction models straightforwardly; d) assigning observations to folds in a balanced way; e) cross-validate the models; f) selecting the most representative model across imputations and folds; and g) getting the relevance of the model regressors; as described in several publications: Solanes et al. (2022) <doi:10.1038/s41537-022-00309-w>, Palau et al. (2023) <doi:10.1016/j.rpsm.2023.01.001>, Sobregrau et al. (2024) <doi:10.1016/j.jpsychores.2024.111656>.
| Version: | 1.0 |
| Imports: | doParallel, foreach, glmnet, parallel, survival |
| Suggests: | pROC |
| Published: | 2024-09-11 |
| DOI: | 10.32614/CRAN.package.easy.glmnet |
| Author: | Joaquim Radua 
[aut, cre] |
| Maintainer: | Joaquim Radua <quimradua at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | easy.glmnet results |
Documentation:
| Reference manual: | easy.glmnet.pdf |
Downloads:
| Package source: | easy.glmnet_1.0.tar.gz |
| Windows binaries: | r-devel: easy.glmnet_1.0.zip, r-release: easy.glmnet_1.0.zip, r-oldrel: easy.glmnet_1.0.zip |
| macOS binaries: | r-release (arm64): easy.glmnet_1.0.tgz, r-oldrel (arm64): easy.glmnet_1.0.tgz, r-release (x86_64): easy.glmnet_1.0.tgz, r-oldrel (x86_64): easy.glmnet_1.0.tgz |
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