glm.predict: Predicted Values and Discrete Changes for Regression Models

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>.

Version: 4.3-0
Depends: R (≥ 3.5.0), stats
Imports: nnet, AER, survival, MASS, parallel, mlogit, dfidx, survey, lme4, VGAM
Published: 2024年01月15日
Author: Benjamin E. Schlegel [aut,cre]
Maintainer: Benjamin E. Schlegel <kontakt at benjaminschlegel.ch>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
CRAN checks: glm.predict results

Documentation:

Reference manual: glm.predict.html , glm.predict.pdf

Downloads:

Windows binaries: r-devel: glm.predict_4.3-0.zip, r-release: glm.predict_4.3-0.zip, r-oldrel: glm.predict_4.3-0.zip
macOS binaries: r-release (arm64): glm.predict_4.3-0.tgz, r-oldrel (arm64): glm.predict_4.3-0.tgz, r-release (x86_64): glm.predict_4.3-0.tgz, r-oldrel (x86_64): glm.predict_4.3-0.tgz

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