crov: Constrained Regression Model for an Ordinal Response and Ordinal Predictors

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

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Reference manual: crov.pdf
Package source: crov_0.1.3.tar.gz
Windows binaries: r-devel: crov_0.1.3.zip, r-devel-gcc8: 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

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