Fits ordinal regression models with elastic net penalty.
Supported model families include cumulative probability, stopping ratio,
continuation ratio, and adjacent category. These families are a subset of
vector glm's which belong to a model class we call the elementwise link
multinomialordinal (ELMO) class. Each family in this class links a vector
of covariates to a vector of class probabilities. Each of these families
has a parallel form, which is appropriate for ordinal response data, as
well as a nonparallel form that is appropriate for an unordered categorical
response, or as a more flexible model for ordinal data. The parallel model
has a single set of coefficients, whereas the nonparallel model has a set of
coefficients for each response category except the baseline category. It is
also possible to fit a model with both parallel and nonparallel terms, which
we call the semiparallel model. The semiparallel model has the flexibility
of the nonparallel model, but the elastic net penalty shrinks it toward the
parallel model. For details, refer to Wurm, Hanlon, and Rathouz (2017)
Package details 


Author  Michael Wurm [aut, cre], Paul Rathouz [aut], Bret Hanlon [aut] 
Date of publication  20180910 20:20:06 UTC 
Maintainer  Michael Wurm <[email protected]> 
License  MIT + file LICENSE 
Version  2.5 
Package repository  View on CRAN 
Installation 
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