Package: ordinalNet
Type: Package
Title: Penalized Ordinal Regression
Version: 2.0
Date: 2017-05-08
Authors@R: c(
    person("Michael", "Wurm", email = "wurm@wisc.edu", role = c("aut", "cre")),
    person("Paul", "Rathouz", email = "rathouz@biostat.wisc.edu", role = "ths"),
    person("Bret", "Hanlon", email = "hanlon@stat.wisc.edu", role = "ths"))	
Description: 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.
LazyData: TRUE
License: MIT + file LICENSE
Depends: R (>= 3.3.2)
Imports: stats (>= 3.3.2)
Suggests: testthat (>= 1.0.2), MASS (>= 7.3-45), glmnet (>= 2.0-5),
        penalized (>= 0.9-50), glmnetcr (>= 1.0.2), VGAM (>= 1.0-3),
        rms (>= 5.1-0)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-08 20:25:52 UTC; mike
Author: Michael Wurm [aut, cre],
  Paul Rathouz [ths],
  Bret Hanlon [ths]
Maintainer: Michael Wurm <wurm@wisc.edu>
Repository: CRAN
Date/Publication: 2017-05-08 21:16:59 UTC
