Dear R users,
Which test is most appropriate in glm when the family is Gamma? In the help page of anova.glm, I found the following “For models with known dispersion (e.g., binomial and Poisson fits) the chi-squared test is most appropriate, and for those with dispersion estimated by moments (e.g., gaussian, quasibinomial and quasipoisson fits) the F test is most appropriate.” My questions : (1)When the family is Gamma, is F-test most appropriate? or chi-square-test? or another? (2)Aside from the tests made by anova.glm, there are other tests (e.g. Wald and score). Are they ( or one of them) more appropriate when the family is Gamma? ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
