gofcat
swMATH ID:  43076 
Software Authors:  Ejike R. Ugba 
Description:  R package gofcat: GoodnessofFit Measures for Categorical Response Models. A postestimation 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 HosmerLemeshow tests for the binary, multinomial and ordinal logistic regression; the Lipsitz and the PulkstenisRobinson tests for the ordinal models. The proportional odds, adjacentcategory, and constrained continuationratio models are particularly supported at ordinal level. Tests for the proportional odds assumptions in ordinal models are also possible with the Brant and the LikelihoodRatio tests. Moreover, several summary measures of predictive strength (Pseudo Rsquared), 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>. 
Homepage:  https://cran.rproject.org/web/packages/gofcat/index.html 
Source Code:  https://github.com/cran/gofcat 
Dependencies:  R 
Keywords:  gofcat; R; R package; goodnessoffit; GOF; categorical response models; CRMs; Journal of Open Source Software 
Related Software:  VGAM; serp; performance; generalhoslem; brant; mlogitgof; CRAN; pkgdown; stats; Mlogit; MASS (R); nnet; ordinal; ResourceSelection; AICcmodavg; goftest; R 
Cited in:  0 Documents 
Standard Articles
1 Publication describing the Software  Year 

gofcat: An R package for goodnessoffit of categorical response models Link Ejike R. Ugba 
2022
