From bolker at ufl.edu  Mon Mar 24 02:33:24 2008
From: bolker at ufl.edu (Ben Bolker)
Date: Mon, 24 Mar 2008 01:33:24 +0000 (UTC)
Subject: [Rd]
	=?utf-8?q?idea_for_GSoC=3A_an_R_package_for_fitting_Bayesian?=
	=?utf-8?q?=09Hierarchical_Models?=
References: <b0808fdc0803210956k5b967d6paa9e572f72482df@mail.gmail.com>
	<b0808fdc0803220410n1b3fbc08k4f837a3355d04096@mail.gmail.com>
Message-ID: <loom.20080324T013004-719@post.gmane.org>

Antonio, Fabio Di Narzo <antonio.fabio <at> gmail.com> writes:

> 
> I've put online a temp web page with some more info (and sources):
> 
> http://antonio.fabio.googlepages.com/rgs%3Athergibbssampler
> 
> Bests,
> Antonio.
> 

  Have you seen Jouni Kerman's Umacs package?  It sounds similar
in spirit.

  Something I would love to see done (not that I have the time
and energy to supervise someone to do it right now) would be
an R (or Python/etc.: R wouldn't necessarily be the best tool)
to translate lmer/nlme syntax (Wilkinson-Rogers with extensions
for specifying random factors, correlation structures, etc.)
into a BUGS file.  It strikes me that it would be a really nice
way to bridge the gap between what mixed-model code can do
and what requires BUGS/MCMC.  Such models could also serve as
(1) a way to cross-check the results of mixed model code;
(2) a way to get started in relaxing the assumptions of mixed
models (e.g. allowing for non-normal random effects distributions).

  Ben Bolker



[Rd] =?utf-8?q?idea_for_GSoC=3A_an_R_package_for_fitting_Bayesian?= =?utf-8?q?=09Hierarchical_Models?=
Ben Bolker