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 |
Documentation:
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