I was wondering is someone can explain me the differences between these (random slopes and intercept) models
model1 <- glmer(output~A+B+C+(A+B+C | F) ) model2 <- glmer(output~A+B+C+(A | F)+(B | F)+(C | F) Thanks. ______________________________________________ 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.
