ordinalNet: Penalized Ordinal Regression

Fits ordinal regression models with elastic net penalty. Supported models include cumulative logit, probit, cauchit, and complementary log-log. The algorithm uses Fisher Scoring with Coordinate Descent updates.

Author
Michael Wurm [aut, cre], Bret Hanlon [ths]
Date of publication
2016-07-27 10:58:34
Maintainer
Michael Wurm <wurm@wisc.edu>
License
MIT + file LICENSE
Version
1.5

View on CRAN

Man pages

coef.ordinalNetFit
Extracts fitted coefficients from an "ordinalNetFit" object.
ordinalNet
Penalized ordinal regression
predict.ordinalNetFit
Predict method for an "ordinalNetFit" object
print.ordinalNetFit
Print method for an "ordinalNetFit" object.

Files in this package

ordinalNet
ordinalNet/tests
ordinalNet/tests/testdata.rda
ordinalNet/tests/testthat.R
ordinalNet/tests/testthat
ordinalNet/tests/testthat/test-ordinalNet.R
ordinalNet/NAMESPACE
ordinalNet/R
ordinalNet/R/ordinalNet.R
ordinalNet/MD5
ordinalNet/DESCRIPTION
ordinalNet/man
ordinalNet/man/coef.ordinalNetFit.Rd
ordinalNet/man/print.ordinalNetFit.Rd
ordinalNet/man/ordinalNet.Rd
ordinalNet/man/predict.ordinalNetFit.Rd
ordinalNet/LICENSE