glm.predict: Predicted Values and Discrete Changes for Regression Models (original) (raw)
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 |
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Depends: | R (≥ 3.5.0), stats |
Imports: | nnet, AER, survival, MASS, parallel, mlogit, dfidx, survey, lme4, VGAM |
Suggests: | ggplot2, devtools, knitr, rmarkdown |
Published: | 2024-01-15 |
DOI: | 10.32614/CRAN.package.glm.predict |
Author: | Benjamin E. Schlegel [aut,cre] |
Maintainer: | Benjamin E. Schlegel |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/benjaminschlegel/glm.predict/ |
NeedsCompilation: | no |
Language: | en-US |
Citation: | glm.predict citation info |
Materials: | README NEWS |
CRAN checks: | glm.predict results |
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