Message-ID: <55B7C392.4090401@gmail.com>
Date: 2015-07-28T18:01:54Z
From: Grégory DANIEL
Subject: MCMCglmm : Bivariate model and prior
In-Reply-To: <55B7C2F2.2000004@gmail.com>
Dear MCMCglmm users,
Few weeks ago, I asked a question concerning some issues that I have to
parametrize a bivariate model in MCMCglmm. So I'm sorry to ask again.
But I want to be sure that I had no response because no one says or
because it's impossible, and not because of an simple oversight, a field
work or a vacation. ^^
I wish to run a bivariate model with MCMCglmm package. But one response
variable is a continuous one (family = gaussian) and the other is a
binary one (family = ordinal). I have sought a way to parameterize
properly the priors (in the archives of this list too), I tried some
solutions that I thought, but in vain. I think I have to fix to 1 the
residual variance for the binary variable and leave it free for the
continuous variable.
Is it possible in MCMCglmm ? And if yes : how do I parameterize the
priors for the residual variance ?
I'll very grateful if someone could answer me.
Gr?gory DANIEL
PhD Student - LBBE
University of Lyon 1
69100 Villeurbanne - FRANCE