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.

Version: 1.0.3
Depends: R (≥ 2.10), glmnet
Suggests: tools
Published: 2017-09-07
Author: Kellie J. Archer
Maintainer: Kellie J. Archer <archer.43 at>
License: GPL-2
NeedsCompilation: no
Citation: glmnetcr citation info
Materials: NEWS
CRAN checks: glmnetcr results


Reference manual: glmnetcr.pdf
Vignettes: glmnetcr: An R Package for Ordinal Response Prediction in High-Dimensional Data Settings
Package source: glmnetcr_1.0.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: glmnetcr_1.0.3.tgz
OS X Mavericks binaries: r-oldrel: glmnetcr_1.0.3.tgz
Old sources: glmnetcr archive

Reverse dependencies:

Reverse suggests: ordinalNet


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