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2006 Mar 08
1
Want to fit random intercept in logistic regression (testing lmer and glmmML)
...text ( 0.5*max(x), 0.5, expression( Prob( y[i] == 1) == frac( 1 , 1 + exp(-eta[i] )))) ### Parameter estimates go to hell, as expected myglm3 <- glm ( y ~ x, family=binomial(link="logit") ) summary(myglm3) ### Why doesn't quasibinomial show more evidence of the random intercept? myglm4 <- glm(y~x, family=quasibinomial) summary(myglm4) # Can I estimate with lmer? library(lme4) ### With no repeated observations, what does lmer want? ### Clusters of size 1 ? ### In lme, I'd need random= ~ 1 idnumber <- 1: length(y) mylmer1 <- lmer( y ~ x + ( 1 | idnumber ), fami...