glm.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>.
| Version: | 4.3-2 |
| Depends: | R (≥ 4.1.0), stats |
| Imports: | nnet,AER,survival,MASS, parallel,mlogit,dfidx,survey,lme4,VGAM |
| Suggests: | ggplot2,devtools,knitr,rmarkdown |
| Published: | 2025-11-07 |
| DOI: | 10.32614/CRAN.package.glm.predict |
| Author: | Benjamin E. Schlegel [aut, cre] |
| Maintainer: | Benjamin E. Schlegel <kontakt at benjaminschlegel.ch> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/benjaminschlegel/glm.predict/ |
| NeedsCompilation: | no |
| Language: | en-US |
| Citation: | glm.predict citation info |
| Materials: | README,NEWS |
| CRAN checks: | glm.predict results |
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