Package: crov
Type: Package
Title: Constrained Regression Model for an Ordinal Response and Ordinal
        Predictors
Version: 0.2.0
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 (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.
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
Imports: VGAM (>= 1.0-5), gtools (>= 3.5.0), stats (>= 3.4.3)
RoxygenNote: 7.0.1
NeedsCompilation: no
Packaged: 2020-04-09 17:56:15 UTC; Hulk
Repository: CRAN
Date/Publication: 2020-04-09 18:20:02 UTC
