Goodness-of-Fit Measures for Categorical Response Models R package gofcat version 0.1.2 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>. Software 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 Ejike R. Ugba <ejike.ugba@outlook.com> Comprehensive R Archive Network (CRAN) Ejike R. Ugba [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-2572-0023>) GPL-2 2022-02-14 application/tgz https://CRAN.R-project.org/package=gofcat doi:10.32614/CRAN.package.gofcat