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 (2019) <doi:10.1007/s11222-018-9842-2>. 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. Two monotonicity tests are also available to test the null hypothesis of monotonicity over a set of parameters associated with an ordinal predictor.

Version: 0.2.0
Imports: VGAM (≥ 1.0-5), gtools (≥ 3.5.0), stats (≥ 3.4.3)
Published: 2020-04-09
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_0.2.0.tar.gz
Windows binaries: r-devel: crov_0.2.0.zip, r-release: crov_0.2.0.zip, r-oldrel: crov_0.2.0.zip
macOS binaries: r-release (arm64): crov_0.2.0.tgz, r-release (x86_64): crov_0.2.0.tgz, r-oldrel: crov_0.2.0.tgz
Old sources: crov archive

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