CRAN/E | glmnetcr

glmnetcr

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

Installation

About

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.

Citation glmnetcr citation info

Key Metrics

Version 1.0.6
R ≥ 2.10
Published 2020-07-03 1365 days ago
Needs compilation? no
License GPL-2
CRAN checks glmnetcr results

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Maintainer

Maintainer

Kellie J. Archer

archer.43@osu.edu

Authors

Kellie J. Archer

Material

NEWS
Reference manual
Package source

Vignettes

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

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

glmnetcr archive

Depends

R ≥ 2.10
glmnet

Suggests

tools