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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 one of the available methods will either establish it or drop the monotonicity assumption. Two monotonicity tests are also available to test the null hypothesis of monotonicity over a set of parameters associated with an ordinal predictor.

Type Size Name Uploaded Downloads Labels
conda 157.7 kB | noarch/r-crov-0.3.0-r43h142f84f_0.tar.bz2  1 year and 15 days ago 19 main
conda 124.0 kB | noarch/r-crov-0.2.0-r42h142f84f_0.tar.bz2  2 years and 7 months ago 52 main
conda 74.9 kB | noarch/r-crov-0.1.3-r36h6115d3f_0.tar.bz2  4 years and 10 months ago 125 main

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