benjaminschlegel/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>.
Getting started
Browse package contents
Package details |
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| Author | Benjamin E. Schlegel [aut,cre] |
| Maintainer | Benjamin E. Schlegel <kontakt@benjaminschlegel.ch> |
| License | GPL (>=2) |
| Version | 4.3-1.9000 |
| URL | https://github.com/benjaminschlegel/glm.predict/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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