DESCRIPTION

Package: glm.predict
Type: Package
Title: Predicted Values and Discrete Changes for Regression Models
Version: 4.3-1.9000
Date: 2024-08-23
Author: Benjamin E. Schlegel [aut,cre]
Maintainer: Benjamin E. Schlegel <kontakt@benjaminschlegel.ch>
Description: 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>.
License: GPL (>=2)
Depends:
    R (>= 3.5.0),
    stats
Imports:
    nnet,
	AER,
	survival,
	MASS,
	parallel,
	mlogit,
	dfidx,
	survey,
	lme4,
	VGAM
Suggests: 
    ggplot2,
    devtools,
    knitr,
    rmarkdown
LazyData: true
URL: https://github.com/benjaminschlegel/glm.predict/
Language: en-US
VignetteBuilder: knitr