Package: customizedTraining
Type: Package
Title: Customized Training for Lasso and Elastic-Net Regularized
        Generalized Linear Models
Version: 1.3
Date: 2024-12-23
Authors@R: c(person(given = "Scott",
                    family = "Powers",
                    role = c("aut", "cre"),
                    email = "saberpowers@gmail.com"),
             person(given = "Trevor",
                    family = "Hastie",
                    role = "aut"),
             person(given = "Robert",
                    family = "Tibshirani",
                    role = "aut"))
Maintainer: Scott Powers <saberpowers@gmail.com>
Imports: FNN, glmnet
Description: 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.
License: GPL-2
Encoding: UTF-8
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-01-08 17:56:47 UTC; sp161
Author: Scott Powers [aut, cre],
  Trevor Hastie [aut],
  Robert Tibshirani [aut]
Repository: CRAN
Date/Publication: 2025-01-08 19:00:02 UTC
Built: R 4.6.0; ; 2026-04-28 01:44:19 UTC; unix
