Hi All, The summary of an lme4::glmer() fit with the Gamma family has a section on random effects. For example: Random effects: Groups Name Variance Std.Dev. Year (Intercept) 0.002536 0.05036 Residual 0.011198 0.10582 Number of obs: 91, groups: Year, 12 The function call that I used was fit2 <- glmer(y ~ (1 | Year), data = finals, family = Gamma(link = "log")) I understand that the normal random effect of "Year" has variance 0.00256. My question is, doe the variance for the "Residual", 0.011198, mean the variance of the Gamma family or the dispersion parameter (which is the reciprocal of the shape of the Gamma distribution, the same as what is reported from a glm fit)? Any tips are appreciated. Jun Yan, Professor Department of Statistics, University of Connecticut 215 Glenbrook Rd. Unit 4120 Storrs, CT 06269 Voice: 860-486-3416 Fax: 860-486-4113 Web: http://statistics.uconn.edu/person/jun-yan/ http://scholar.google.com/citations?user=4jVhnnEAAAAJ&hl=en
interpretation of random effects variance from glmer() with the Gamma family
1 message · Yan, Jun