Predicted Values and Discrete Changes for Regression Models
predicted value
predicted value
predicted value
predicted value
predicted value
predicted value
predicted value
predicted value
predicted value
predicted values and discrete change
predicted values and discrete change
predicted values and discrete change
predicted values and discrete change
predicted values and discrete change
predicted values and discrete change
predicted values and discrete change
predicted values and discrete change
predicted values and discrete change
Predicted Values and Discrete Changes for GLM
predicted values and discrete change
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>.