Fits ordinal regression models with elastic net penalty by coordinate descent.
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 multinomial-ordinal (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 semi-parallel
model. The semi-parallel model has the flexibility of the nonparallel model,
but the elastic net penalty shrinks it toward the parallel model.
Maintainer: Michael Wurm <wurm at wisc.edu>
Author(s): Michael Wurm^{*}, Paul Rathouz^{*}, Bret Hanlon^{*}
Install package and any missing dependencies by running this line in your R console:
install.packages("ordinalNet")
Package | ordinalNet |
Materials | |
URL | |
Task Views | |
Version | 2.0 |
Published | 2017-05-08 |
License | MIT + file LICENSE |
BugReports | |
SystemRequirements | |
NeedsCompilation | no |
Citation | |
CRAN checks | ordinalNet check results |
Package source | ordinalNet_2.0.tar.gz |
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