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.

Getting started

Package details

AuthorJavier Espinosa <[email protected]>
MaintainerJavier Espinosa <[email protected]>
LicenseGPL-2
Version0.1.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("crov")

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crov documentation built on May 1, 2019, 8:07 p.m.