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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.
| Version: | 0.3.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | VGAM (≥ 1.0-5), gtools (≥ 3.5.0), stats (≥ 3.4.3) |
| Published: | 2023-08-25 |
| DOI: | 10.32614/CRAN.package.crov |
| Author: | Javier Espinosa |
| Maintainer: | Javier Espinosa <javier.espinosa.b at usach.cl> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | crov results |
| Reference manual: | crov.pdf |
| Package source: | crov_0.3.0.tar.gz |
| Windows binaries: | r-devel: crov_0.3.0.zip, r-release: crov_0.3.0.zip, r-oldrel: crov_0.3.0.zip |
| macOS binaries: | r-release (arm64): crov_0.3.0.tgz, r-oldrel (arm64): crov_0.3.0.tgz, r-release (x86_64): crov_0.3.0.tgz, r-oldrel (x86_64): crov_0.3.0.tgz |
| Old sources: | crov archive |
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