Hi all I am using the bam function of the mgcv package to model behavioral data of a learning experiment. To model individual variation in learning rate, I am testing models with (a) by-participant random intercepts of trial, (b) by-participant random slopes and random intercepts of trial, and (c) by-participant random smooth terms.
While all (a) and (c) models converge, I am getting an error for every possible variation of a model with random intercepts and random slopes. For example: m1.rs<-bam(acc~ 1 + igc + s(ctrial) + s(sbj, bs="re") + s(ctrial, sbj, bs="re") , data=data_a, family=binomial) Error in G$smooth[[i]]$first.para:G$smooth[[i]]$last.para : argument of length 0 Any idea on what that error might be? Thank you in advance for your time. Fotis P.S.: R version: 3.3.1, mgcv version: 1.8.15 -- PhD Candidate Department of Philosophy and History of Science University of Athens, Greece. http://users.uoa.gr/~aprotopapas/LLL/en/members.html#fotisfotiadis Notice: Please do not use this account for social networks invitations, for sending chain-mails to me, or as it were a facebook account. Thank you for respecting my privacy. [[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.
