Customized Training for Lasso and Elastic-Net Regularized Generalized Linear Models R package customizedTraining version 1.3 Customized training is a simple technique for transductive learning, when the test covariates are known at the time of training. The method identifies a subset of the training set to serve as the training set for each of a few identified subsets in the training set. This package implements customized training for the glmnet() and cv.glmnet() functions. Software Imports: FNN, glmnet Scott Powers <saberpowers@gmail.com> Comprehensive R Archive Network (CRAN) Scott Powers [aut, cre], Trevor Hastie [aut], Robert Tibshirani [aut] GPL-2 2025-01-08 application/tgz https://CRAN.R-project.org/package=customizedTraining doi:10.32614/CRAN.package.customizedTraining