glm.predict: Predicted Values and Discrete Changes for GLM

Functions to calculate predicted values and the difference between the two cases with confidence interval for lm() [linear model], glm() [general linear model], glm.nb() [negative binomial model], polr() [ordinal logistic model], multinom() [multinomial model] and tobit() [tobit model] using Monte Carlo simulations or bootstrap. Reference: Bennet A. Zelner (2009) <doi:10.1002/smj.783>.

Version: 4.0-0
Depends: R (≥ 3.1.0), stats, MASS, parallel
Imports: nnet, AER, survival
Suggests: knitr, rmarkdown, schlegel, ggplot2, devtools
Published: 2020-11-17
Author: Benjamin Schlegel [aut,cre]
Maintainer: Benjamin Schlegel <kontakt at benjaminschlegel.ch>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://benjaminschlegel.ch/r/glm-predict/
NeedsCompilation: no
Language: en-US
CRAN checks: glm.predict results

Downloads:

Reference manual: glm.predict.pdf
Vignettes: Introduction to glm.predict
Package source: glm.predict_4.0-0.tar.gz
Windows binaries: r-devel: glm.predict_4.0-0.zip, r-release: glm.predict_4.0-0.zip, r-oldrel: glm.predict_4.0-0.zip
macOS binaries: r-release: glm.predict_4.0-0.tgz, r-oldrel: glm.predict_4.0-0.tgz
Old sources: glm.predict archive

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