Package: glm.predict
Type: Package
Title: Predicted Values and Discrete Changes for GLM
Version: 4.2-0
Date: 2022-12-02
Author: Benjamin Schlegel [aut,cre]
Maintainer: Benjamin 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() [generalised linear model], glm.nb() [negative binomial model],
	polr() [ordinal logistic model], multinom() [multinomial model] and tobit() [tobit model],
	svyglm() [survey-weighted generalised linear models], 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
Suggests: knitr, rmarkdown, ggplot2, devtools
VignetteBuilder: knitr, rmarkdown
LazyData: true
URL: https://benjaminschlegel.ch/r/glm-predict/
Language: en-US
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2022-12-02 14:14:10 UTC; benja
Repository: CRAN
Date/Publication: 2022-12-02 14:50:02 UTC
