Predicted Values and Discrete Changes for GLM

Functions to calculate predicted values and the difference between the two cases with confidence interval for lm() [linear model], glm() [generalised linear model], glm.nb() [negative binomial model], polr() [ordinal logistic model], multinom() [multinomial model] and tobit() [tobit model], svyglm() [survey-weighted generalised linear models] using Monte Carlo simulations or bootstrap. Reference: Bennet A. Zelner (2009) .


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install.packages("glm.predict")

4.1-0 by Benjamin Schlegel, a month ago


https://benjaminschlegel.ch/r/glm-predict/


Browse source code at https://github.com/cran/glm.predict


Authors: Benjamin Schlegel [aut,cre]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports nnet, AER, survival

Depends on stats, MASS, parallel, mlogit, dfidx, survey

Suggests knitr, rmarkdown, ggplot2, devtools


See at CRAN