Thanks Joe. This is good. But can you please tell me how to set up the variable as either fixed effect or random effect?
*as per the documentation, rhierBinLogit model is:* P = exp(Xij BETAi) / (1 + exp(Xij BETAi) where, BETAi = Z Delta[i,] for keyword i and week j. Here all X are modeled as random effects. How do I model some X as random and some as fixed effect coefficient? Thank you! Kiran 2009/3/14 Joseph Retzer <joe_ret...@yahoo.com> > You may want to take a look at: > > rhierBinLogit MCMC Algorithm for Hierarchical Binary Logit > > in the bayesm package. > > Cheers, > Joe > > --- On *Fri, 3/13/09, Kiran BM <kira...@gmail.com>* wrote: > > From: Kiran BM <kira...@gmail.com> > Subject: [R] Hierarchical Bayesian Modeling in R > To: r-help@r-project.org > Date: Friday, March 13, 2009, 1:47 PM > > Hi Friends, > I'm trying to model the consumer decisions (Click-Through Rate and > Conversion) in Search Engine Advertising using a hierarchical Bayesian > binary logit. The input data is the weekly CTRs and Avg. Position for each > search keyword. > > CTR is > modeled as (for each keyword i and week j): > > Pij = exp(C + Bi x Positionij + A1 x Lengthi + A2 x Brandi + A3 x > ProductSpecifici) / [1 + exp(C + Bi x Positionij + A1 x Lengthi + A2 x > Brandi + A3 x ProductSpecifici)] > > The Position coefficient Bi is in turn allowed to vary along the population > mean (B1) and the keyword characteristics as: > > Bi = B1 + K1 x Lengthi + K2 x Brandi + K3 x ProductSpecifici > > How can I model this in R? Which function in R is used to do the > Hierarchical Bayesian Binary Logit modeling. Please help. > > Thank you! > Kiran > > [[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. > > > [[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.
