Dear Daniel, Thanks a lot for your answer. I will take a look in such package.
Best regards, Caio On Tue, Jul 28, 2009 at 10:38 PM, Daniel Malter <dan...@umd.edu> wrote: > Caio, check the lme4 library. The lmer function allows for fixed and random > effects. > > Daniel > > > ------------------------- > cuncta stricte discussurus > ------------------------- > > -----Ursprüngliche Nachricht----- > Von: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] Im > Auftrag von Caio Azevedo > Gesendet: Tuesday, July 28, 2009 6:43 PM > An: r-help@r-project.org > Betreff: [R] Nonlinear mixed binary regression model > > Hi all, > > Is there any package in R which fits binary regression models with a probit > (or logit) link function related to a nonlinear predictor with both fixed > and random effects? Something like that: > > Y ~ Bernoulli(p) > > > probit(p) = h(X*Beta + Z*b), where ``h'' is a nonlinear function, X and Z > are known design matrices, Beta are fixed effects and b are random effects. > > > Thanks all in advance, > > > Best regards, > > Caio > > [[alternative HTML version deleted]] > > ______________________________________________ > 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<http://www.r-project.org/posting-guide.html> > and provide commented, minimal, self-contained, reproducible code. > > [[alternative HTML version deleted]]
______________________________________________ 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.
