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] and multinom() [multinomial model] using Monte Carlo simulations. Reference: Bennet A. Zelner (2009) <doi:10.1002/smj.783>.
| Version: | 3.1-0 |
| Depends: | R (≥ 3.1.0), stats, MASS, parallel |
| Imports: | nnet |
| Published: | 2019-09-05 |
| 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 |
| CRAN checks: | glm.predict results |
| Reference manual: | glm.predict.pdf |
| Package source: | glm.predict_3.1-0.tar.gz |
| Windows binaries: | r-devel: glm.predict_3.1-0.zip, r-release: glm.predict_3.1-0.zip, r-oldrel: glm.predict_3.1-0.zip |
| macOS binaries: | r-release: glm.predict_3.1-0.tgz, r-oldrel: glm.predict_3.1-0.tgz |
| Old sources: | glm.predict archive |
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