Package: glm.predict
Type: Package
Title: Predicted Values and Discrete Changes for Regression Models
Version: 4.3-2
Date: 2025-11-07
Authors@R: person(given = c("Benjamin", "E."),
                  family = "Schlegel",
                  role = c("aut", "cre"),
                  email = "kontakt@benjaminschlegel.ch",
				  comment = c(ORCID = "0000-0002-5789-8996")
				  )
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 (>= 4.1.0), 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
NeedsCompilation: no
Packaged: 2025-11-07 14:42:15 UTC; benja
Author: Benjamin E. Schlegel [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-5789-8996>)
Repository: CRAN
Date/Publication: 2025-11-07 15:30:02 UTC
Built: R 4.6.0; ; 2026-04-25 14:08:31 UTC; unix
