print.hosmerlem

<p>An object of class <code>hosmerlem</code>.</p>

<p>Prints out a summary table of the goodness-of-fit test for binary,
multinomial and ordinal models.
class LRI.</p>

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>.

Ejike Ugba

gofcat

print.hosmerlem: Print method for an object of class hosmerlem

Description

Usage

Arguments

Value

See Also