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customizedTraining  

Customized Training for Lasso and Elastic-Net Regularized Generalized Linear Models
View on CRAN: Click here


Download and install customizedTraining package within the R console
Install from CRAN:
install.packages("customizedTraining")

Install from Github:
library("remotes")
install_github("cran/customizedTraining")

Install by package version:
library("remotes")
install_version("customizedTraining", "1.3")



Attach the package and use:
library("customizedTraining")
Maintained by
Scott Powers
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-02-12
Latest Update: 2025-01-08
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.
How to cite:
Scott Powers (2016). customizedTraining: Customized Training for Lasso and Elastic-Net Regularized Generalized Linear Models. R package version 1.3, https://cran.r-project.org/web/packages/customizedTraining. Accessed 02 Nov. 2026.
Previous versions and publish date:
(2026-07-09 07:29), 1.0 (2016-02-12 01:02), 1.1 (2016-09-14 18:50), 1.2 (2019-01-29 09:30)
Other packages that cited customizedTraining R package
View customizedTraining citation profile
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Complete documentation for customizedTraining
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