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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