gofcat: Goodness-of-Fit Measures for Categorical Response Models (original) (raw)
A post-estimation method for categorical response models (CRM). Inputs from objects of class serp(), clm(), polr(), multinom(), mlogit(), vglm() and glm() are currently supported. Available tests include the Hosmer-Lemeshow tests for the binary, multinomial and ordinal logistic regression; the Lipsitz and the Pulkstenis-Robinson tests for the ordinal models. The proportional odds, adjacent-category, and constrained continuation-ratio models are particularly supported at ordinal level. Tests for the proportional odds assumptions in ordinal models are also possible with the Brant and the Likelihood-Ratio tests. Moreover, several summary measures of predictive strength (Pseudo R-squared), and some useful error metrics, including, the brier score, misclassification rate and logloss are also available for the binary, multinomial and ordinal models. Ugba, E. R. and Gertheiss, J. (2018) <http://www.statmod.org/workshops_archive_proceedings_2018.html>.
| Version: | 0.1.2 |
|---|---|
| Depends: | R (≥ 3.2.0) |
| Imports: | utils, crayon, stats, Matrix, epiR, reshape, stringr, VGAM (≥ 1.1-4) |
| Suggests: | serp, dfidx, mlogit, nnet, ordinal, MASS, testthat, covr |
| Published: | 2022-02-14 |
| DOI: | 10.32614/CRAN.package.gofcat |
| Author: | Ejike R. Ugba  [aut, cre, cph] |
| Maintainer: | Ejike R. Ugba <ejike.ugba at outlook.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | gofcat results |
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