search for: epilepticbc

...ffects, one subject specific, and one observation specific. Thus if we count random effects, there are more parameters than observations. When I try to run the following code, I get an error saying: "Error in mer_finalize(ans) : q = 295 > n = 236". require (lme4) require (glmmAK) data(epilepticBC) dat = epilepticBC dat$rand=1:nrow(dat) dat$V4=dat$visit==4 formula1 = Seizure ~ Base + Trt + I(Trt*Base) + Age + V4 fit=lmer (update (formula1, .~. + (1|id) + (1|rand)), family=poisson, data=dat, nAGQ=1) Is it true that there is no way to fit such a model in an ML analysis? In other words, is the...