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 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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=glm.predict to link to this page.
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