Provides a formula interface for the 'glmnet' package for
elasticnet regression, a method for cross-validating the alpha parameter,
and other quality-of-life tools.
stats, graphics, grDevices, glmnet, parallel, Matrix
knitr, rmarkdown, MASS, doParallel, testthat
'glmnetUtils.r' 'cvAlpha.r' 'cvGlmnetFormula.r'
'glmnetFormula.r' 'makeModelComponents.r'

'glmnetUtils.r' 'cvGlmnetFormula.r' 'cvaGlmnetFormula.r'
'glmnetFormula.r' 'makeModelComponents.r'

c(
person("Microsoft", role="cph"),
person("Hong", "Ooi", email="hongooi73@gmail.com", role=c("aut", "cre"))
)

Fit a penalized constrained continuation ratio model for
predicting an ordinal response
This packages 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. This
package uses the glmnet package fitting algorithm.

This packages 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. This package uses the glmnet package
fitting algorithm.

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.

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.