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glmnetcr  

Fit a Penalized Constrained Continuation Ratio Model for Predicting an Ordinal Response
View on CRAN: Click here


Download and install glmnetcr package within the R console
Install from CRAN:
install.packages("glmnetcr")

Install from Github:
library("remotes")
install_github("cran/glmnetcr")

Install by package version:
library("remotes")
install_version("glmnetcr", "1.0.7")



Attach the package and use:
library("glmnetcr")
Maintained by
Kellie J. Archer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-03-16
Latest Update: 2025-04-09
Description:
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.
How to cite:
Kellie J. Archer (2011). glmnetcr: Fit a Penalized Constrained Continuation Ratio Model for Predicting an Ordinal Response. R package version 1.0.7, https://cran.r-project.org/web/packages/glmnetcr. Accessed 05 Mar. 2026.
Previous versions and publish date:
1.0.1 (2012-07-23 10:35), 1.0.2 (2014-01-03 16:14), 1.0.3 (2017-09-07 20:27), 1.0.4 (2018-06-04 19:43), 1.0.5 (2020-01-08 16:30), 1.0.6 (2020-07-03 19:10), 1.0 (2011-03-16 17:20)
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Complete documentation for glmnetcr
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