I've put online a temp web page with some more info (and sources): http://antonio.fabio.googlepages.com/rgs%3Athergibbssampler
Bests, Antonio. 2008/3/21, Antonio, Fabio Di Narzo <[EMAIL PROTECTED]>: > Dear R developers, > these days I'm working on some R code for fitting completely generic > Bayesian Hierarchical Models in R, a la OpenBUGS and JAGS. > > A key feature of OpenBUGS and JAGS is that they automatically build an > appropriate MCMC sampler from a generic model, specified as a directed > acyclic graph (DAG). > The spirit of my (would-be) implementation is instead more focused on > experimentation and prototyping, i.e. is the user who explicitely > assign samplers for each model variable after specifying the model. > The sampler can be chosed in a set of predefined samplers, as well as > customly specified by the user as an R or C function in a very > flexible way. > > Now I have a prototype scheleton implementation (a bounch of R and C > files, together with some base testing scripts) which works at decent > speed (w.r.t. JAGS) on some example models, and I'm writing a > proof-of-concept, reproducible Sweave file about it, to be published > online shortly. > > What do you think about it in general? > What do you think about developing an R package of it as a GSoC project? > > Best regards, > Antonio, Fabio Di Narzo. > ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
