Fits a constrained regression model for an ordinal response with ordinal predictors and possibly others, Espinosa and Hennig (2018) <arXiv:1804.08715>. The parameter estimates associated with an ordinal predictor are constrained to be monotonic. If a monotonicity direction (isotonic or antitonic) is not specified for an ordinal predictor by the user, then the monotonicity direction classification procedure establishes it. A monotonicity test is also available to test the null hypothesis of monotonicity over a set of parameters associated with an ordinal predictor.
| Version: | 0.1.3 |
| Imports: | VGAM (≥ 1.0-5), gtools (≥ 3.5.0), stats (≥ 3.4.3) |
| Published: | 2018-11-02 |
| Author: | Javier Espinosa |
| Maintainer: | Javier Espinosa <javier.espinosa at ucl.ac.uk> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | crov results |
| Reference manual: | crov.pdf |
| Package source: | crov_0.1.3.tar.gz |
| Windows binaries: | r-devel: crov_0.1.3.zip, r-release: crov_0.1.3.zip, r-oldrel: crov_0.1.3.zip |
| OS X binaries: | r-release: crov_0.1.3.tgz, r-oldrel: crov_0.1.3.tgz |
Please use the canonical form https://CRAN.R-project.org/package=crov to link to this page.