gofcat: Goodness-of-Fit Measures for Categorical Response Models

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
Author: Ejike R. Ugba ORCID iD [aut, cre, cph]
Maintainer: Ejike R. Ugba <ejike.ugba at outlook.com>
License: GPL-2
NeedsCompilation: no
Materials: README NEWS
CRAN checks: gofcat results

Documentation:

Reference manual: gofcat.pdf

Downloads:

Package source: gofcat_0.1.2.tar.gz
Windows binaries: r-devel: gofcat_0.1.2.zip, r-release: gofcat_0.1.2.zip, r-oldrel: gofcat_0.1.2.zip
macOS binaries: r-release (arm64): gofcat_0.1.2.tgz, r-oldrel (arm64): gofcat_0.1.2.tgz, r-release (x86_64): gofcat_0.1.2.tgz
Old sources: gofcat archive

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