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() [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] using Monte Carlo simulations or bootstrap. Reference: Bennet A. Zelner (2009) <doi:10.1002/smj.783>.

Version:	4.1-0
Depends:	R (≥ 3.5.0), stats, MASS, parallel, mlogit, dfidx, survey
Imports:	nnet, AER, survival
Suggests:	knitr, rmarkdown, ggplot2, devtools
Published:	2021-08-16
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

Documentation:

Reference manual:	glm.predict.pdf
Vignettes:	Introduction to glm.predict

Downloads:

Package source:	glm.predict_4.1-0.tar.gz
Windows binaries:	r-devel: glm.predict_4.1-0.zip, r-release: glm.predict_4.1-0.zip, r-oldrel: glm.predict_4.1-0.zip
macOS binaries:	r-release (arm64): glm.predict_4.1-0.tgz, r-oldrel (arm64): glm.predict_4.1-0.tgz, r-release (x86_64): glm.predict_4.1-0.tgz, r-oldrel (x86_64): glm.predict_4.1-0.tgz
Old sources:	glm.predict archive

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