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.
- Version4.3-0
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Languageen-US
- glm.predict citation info
- Last release01/15/2024
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Benjamin E. Schlegel
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- Imports9 packages
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