Predicted Values and Discrete Changes for Regression Models R package glm.predict version 4.3-2 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>. Software Depends: R (>= 4.1.0), stats Imports: nnet, AER, survival, MASS, parallel, mlogit, dfidx, survey, lme4, VGAM Suggests: ggplot2, devtools, knitr, rmarkdown Benjamin E. Schlegel <kontakt@benjaminschlegel.ch> Comprehensive R Archive Network (CRAN) Benjamin E. Schlegel [aut, cre] (ORCID: <https://orcid.org/0000-0002-5789-8996>) GPL (>= 2) 2025-11-07 application/tgz https://CRAN.R-project.org/package=glm.predict doi:10.32614/CRAN.package.glm.predict en-US