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>.
