R Observatory: Metrics for customizedTraining version 1.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

customizedTraining

1.3Package record

Customized Training for Lasso and Elastic-Net Regularized Generalized Linear Models

0packages depend

2.6Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Scott PowersCRAN page ↗

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.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("customizedTraining", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-customizedtraining

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-customizedTraining

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-customizedTraining

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.1 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.3

READMEYes · 26 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 13
Examples that run: 100%10 run in a plain check
Exported functions with examples: 67%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 8%

How these are measured

Downloads

2.6K

CRAN downloads in the past year

Rank #15,895 · ~7/day · ~218/mo

Releases R versions

Daily download trend is not available in this view yet.

34530 days

77890 days

2.6K1 year

Compare downloads with other packages →

Also on81 r2u4 autocran

How downloads are counted

Dependencies

Declared dependencies

2 external dependencies (excludes base and recommended)

Installing customizedTraining adds 7 packages (4 with compiled code, 7.3 MB of source tarballs). Heaviest: glmnet 2.7 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB.

Depends (0)

none

Imports (2)

FNN glmnet

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (3)

Scott Powers

Author, Maintainer since 1.0 (2016)

Trevor Hastie

Author

Robert Tibshirani

Author

Releases (4)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.3Latest
record
2025-01-08 · current release · diff ↗ ·
removed 1 export
pattern:^[[:alpha:]]+

added 3 exports
customizedGlmnet, cv.customizedGlmnet, nonzero
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
1.2
record
2019-01-29 · diff ↗
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
1.1
record
2016-09-14 · diff ↗
R
R 3.3.0 released · 2016-05-03
1.0
record
2016-02-12
R
R 3.2.0 released · 2015-04-16

Package metadata

First published: 2016-02-12
Total releases: 4 / 10 yrs
License: GPL-2 OSI
Bundled data: 25 KB / 1 file
Download size: 40 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("customizedTraining")

Format

Powers, S., Hastie, T., & Tibshirani, R. (2025). customizedTraining: Customized Training for Lasso and Elastic-Net Regularized Generalized Linear Models (Version 1.3) [Computer software]. https://doi.org/10.32614/CRAN.package.customizedTraining

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for customizedTraining version 1.3 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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