The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| 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 <kontakt at benjaminschlegel.ch> |
| 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 |
| Reference manual: | glm.predict.pdf |
| Vignettes: |
Introduction to glm.predict |
| Package source: | glm.predict_4.3-0.tar.gz |
| 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 |
| Old sources: | glm.predict archive |
Please use the canonical form https://CRAN.R-project.org/package=glm.predict to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.