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.
Ubuntu Diego <ubuntu.diego <at> gmail.com> writes:> 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) >You should ask this question on the r-sig-mixed-models mailing list. sincerely Ben Bolker