Package: customizedTraining
Type: Package
Title: Customized Training for Lasso and Elastic-Net Regularized
        Generalized Linear Models
Version: 1.2
Date: 2019-01-28
Author: Scott Powers, Trevor Hastie, Robert Tibshirani
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
NeedsCompilation: no
Packaged: 2019-01-29 02:34:22 UTC; sspowers
Repository: CRAN
Date/Publication: 2019-01-29 08:30:03 UTC
Built: R 4.1.3; ; 2023-04-17 16:34:23 UTC; windows
