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 247 downloads 10 exports 10 dependencies

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

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-winNOTENov 04 2024
R-4.5-linuxNOTENov 04 2024
R-4.4-winOKNov 04 2024
R-4.4-macOKNov 04 2024
R-4.3-winOKNov 04 2024
R-4.3-macOKNov 04 2024

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 Nov 04 2024.

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