Package: easy.glmnet
Type: Package
Title: Functions to Simplify the Use of 'glmnet' for Machine Learning
Version: 1.0
Date: 2024-09-06
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>, Sobregrau et al. (2024) <doi:10.1016/j.jpsychores.2024.111656>.
License: GPL-3
Imports: doParallel, foreach, glmnet, parallel, survival
Suggests: pROC
NeedsCompilation: no
Packaged: 2024-09-06 15:33:58 UTC; team
Author: Joaquim Radua [aut, cre] (<https://orcid.org/0000-0003-1240-5438>)
Maintainer: Joaquim Radua <quimradua@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-11 12:50:02 UTC
Built: R 4.3.3; ; 2024-09-11 23:41:30 UTC; unix
