Package: glmnetcr 1.0.7

glmnetcr: Fit a Penalized Constrained Continuation Ratio Model for Predicting an Ordinal Response

Penalized methods are useful for fitting over-parameterized models. This package includes functions for restructuring an ordinal response dataset for fitting continuation ratio models for datasets where the number of covariates exceeds the sample size or when there is collinearity among the covariates. The 'glmnet' fitting algorithm is used to fit the continuation ratio model after data restructuring.

Authors:Kellie J. Archer [aut, cre]

glmnetcr_1.0.7.tar.gz
glmnetcr_1.0.7.zip(r-4.7)glmnetcr_1.0.7.zip(r-4.6)glmnetcr_1.0.7.zip(r-4.5)
glmnetcr_1.0.7.tgz(r-4.6-any)glmnetcr_1.0.7.tgz(r-4.5-any)
glmnetcr_1.0.7.tar.gz(r-4.7-any)glmnetcr_1.0.7.tar.gz(r-4.6-any)
glmnetcr_1.0.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
glmnetcr/json (API)
NEWS

# Install 'glmnetcr' in R:
install.packages('glmnetcr', repos = c('https://kelliejarcher.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kelliejarcher/glmnetcr/issues

Datasets:
  • diabetes - Gene Expression in Normal, Impaired Fasting Glucose, and Type II Diabetic Males

On CRAN:

Conda:

3.97 score 1 packages 31 scripts 181 downloads 10 exports 10 dependencies

Last updated from:401f8f587c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK146
source / vignettesOK202
linux-release-x86_64OK144
macos-release-arm64OK125
macos-oldrel-arm64OK160
windows-develOK108
windows-releaseOK111
windows-oldrelOK111
wasm-releaseOK91

Exports:coef.glmnetcrcr.backwardcr.forwardfitted.glmnetcrglmnetcrnonzero.glmnetcrplot.glmnetcrpredict.glmnetcrprint.glmnetcrselect.glmnetcr

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival

glmnetcr: An R Package for Ordinal Response Prediction in High-Dimensional Data Settings

Rendered fromglmnetcr.Rnwusingutils::Sweaveon Jun 02 2026.

Last update: 2022-04-05
Started: 2022-04-05