brant - Test for Parallel Regression Assumption
Tests the parallel regression assumption for ordinal logit models generated with the function polr() from the package 'MASS'.
Last updated 12 months ago
5.24 score 1 dependents 149 scripts 2.6k downloadsglm.predict - Predicted Values and Discrete Changes for Regression Models
Functions to calculate predicted values and the difference between the two cases with confidence interval for lm() [linear model], glm() [generalized linear model], glm.nb() [negative binomial model], polr() [ordinal logistic model], vglm() [generalized ordinal logistic model], multinom() [multinomial model], tobit() [tobit model], svyglm() [survey-weighted generalised linear models] and lmer() [linear multilevel models] using Monte Carlo simulations or bootstrap. Reference: Bennet A. Zelner (2009) <doi:10.1002/smj.783>.
Last updated 7 months ago
5.08 score 1 stars 55 scripts 1.5k downloads