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 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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