Package: crov
Type: Package
Title: Constrained Regression Model for an Ordinal Response and Ordinal
        Predictors
Version: 0.1.3
Author: Javier Espinosa <javier.espinosa@ucl.ac.uk>
Maintainer: Javier Espinosa <javier.espinosa@ucl.ac.uk>
Description: 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.
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
Imports: VGAM (>= 1.0-5), gtools (>= 3.5.0), stats (>= 3.4.3)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-10-30 17:29:13 UTC; Hulk
Repository: CRAN
Date/Publication: 2018-11-02 19:00:07 UTC
