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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.2 |
rolling source/ R- | gofcat_0.1.2.tar.gz |
55.6 KiB |
0.1.2 |
rolling linux/jammy R-4.5 | gofcat_0.1.2.tar.gz |
156.2 KiB |
0.1.2 |
rolling linux/noble R-4.5 | gofcat_0.1.2.tar.gz |
156.2 KiB |
0.1.2 |
latest source/ R- | gofcat_0.1.2.tar.gz |
55.6 KiB |
0.1.2 |
latest linux/jammy R-4.5 | gofcat_0.1.2.tar.gz |
156.2 KiB |
0.1.2 |
latest linux/noble R-4.5 | gofcat_0.1.2.tar.gz |
156.2 KiB |
0.1.2 |
2026-04-23 source/ R- | gofcat_0.1.2.tar.gz |
55.6 KiB |
0.1.2 |
2026-04-09 windows/windows R-4.5 | gofcat_0.1.2.zip |
159.3 KiB |
0.1.2 |
2025-04-20 source/ R- | gofcat_0.1.2.tar.gz |
55.6 KiB |