Dear R-help, The function logLik can be used to obtain the maximum log-likelihood value from a glm object. This is an aggregated value, a summation of individual log-likelihood values. How do I obtain individual values? In the following example, I would expect 9 numbers since the response has length 9. I could write a function to compute the values, but there are lots of family members in glm, and I am trying not to reinvent wheels. Thanks!
counts <- c(18,17,15,20,10,20,25,13,12) outcome <- gl(3,1,9) treatment <- gl(3,3) data.frame(treatment, outcome, counts) # showing data glm.D93 <- glm(counts ~ outcome + treatment, family = poisson()) (ll <- logLik(glm.D93)) [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.