Package: glmnetcr 1.0.6

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

glmnetcr_1.0.6.tar.gz
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glmnetcr_1.0.6.tgz(r-4.4-any)glmnetcr_1.0.6.tgz(r-4.3-any)
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glmnetcr.pdf |glmnetcr.html✨
glmnetcr/json (API)
NEWS

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

Peer review:

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

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

On CRAN:

4.61 score 1 packages 27 scripts 220 downloads 10 exports 10 dependencies

Last updated 3 years agofrom:7500a2d333. Checks:5 OK, 2 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 03 2025
R-4.5-winNOTEJan 03 2025
R-4.5-linuxNOTEJan 03 2025
R-4.4-winOKJan 03 2025
R-4.4-macOKJan 03 2025
R-4.3-winOKJan 03 2025
R-4.3-macOKJan 03 2025

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 Jan 03 2025.

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