Hi, I am modeling a gen linear mixed model with binomial repeated measures responses (y=cbind(correct/not correct)) of some individuals (id). I have a 2X2 design (effort and costs) and another continuous independent variable (scr). This will lead to something like this:
mod.1<-lmer(y~effort+costs+scr+(1|id),family=binomial) so far so good. In my experiment the probability to score a correct depends also on a probability based on random choice. Short example: Individual 1 has to choose 5 times before a correct can happen in the high effort condition while in the low effort condition Ind 1 only has to choose 3 times. So there is a different probability associated to the low and high effort condition that an individual will choose correct. How can I incorporate this into a model or does anybody know of paper where a similar case has occurred? Ulf -- View this message in context: http://r.789695.n4.nabble.com/how-to-incorporate-prior-base-probabilities-into-binomial-glmm-tp3312442p3312442.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
