Package: easy.glmnet
Type: Package
Title: Functions to Simplify the Use of 'glmnet' for Machine Learning
Version: 1.1
Date: 2026-02-07
Authors@R: person(given = "Joaquim", family = "Radua", email = "quimradua@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1240-5438"))
Description: 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>, Salazar de Pablo et al. (2025) <doi:10.1038/s41380-025-03244-1>.
License: GPL-3
Imports: doParallel, foreach, glmnet, parallel, survival
Suggests: pROC
NeedsCompilation: no
Packaged: 2026-02-08 10:17:16 UTC; root
Author: Joaquim Radua [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-1240-5438>)
Maintainer: Joaquim Radua <quimradua@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-08 14:40:02 UTC
Built: R 4.6.0; ; 2026-04-26 07:06:52 UTC; unix
