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: 4.3-0
Depends: R (≥ 3.5.0), stats
Imports: nnet, AER, survival, MASS, parallel, mlogit, dfidx, survey, lme4, VGAM
Suggests: ggplot2, devtools, knitr, rmarkdown
Published: 2024-01-15
DOI: 10.32614/CRAN.package.glm.predict
Author: Benjamin E. Schlegel [aut,cre]
Maintainer: Benjamin E. Schlegel <kontakt at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Language: en-US
Citation: glm.predict citation info
Materials: README NEWS
CRAN checks: glm.predict results


Reference manual: glm.predict.pdf
Vignettes: Introduction to glm.predict


Package source: glm.predict_4.3-0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): glm.predict_4.3-0.tgz, r-oldrel (arm64): glm.predict_4.3-0.tgz, r-release (x86_64): glm.predict_4.3-0.tgz, r-oldrel (x86_64): glm.predict_4.3-0.tgz
Old sources: glm.predict archive


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