The posterior distribution seem to be only slightly skewed.
However the question remains: what is the sense of the discrepancy
between HPD
and pMCMC?
Thanks
Massimo
----Messaggio originale----
Da: ndjido at gmail.com
Data: 24/08/2011 11.43
A: "m.fenati at libero.it"<m.fenati at libero.it>
Cc: <r-sig-mixed-models at r-project.org>
Ogg: Re: [R-sig-ME] pMCMC and HPD in MCMCglmm
Check your posterior distributions, the one corresponding to GENDER
seems to
be skewed.
Ardo.
On Wed, Aug 24, 2011 at 11:33 AM, m.fenati at libero.it <m.fenati at libero.it
wrote:
As suggested by Ben Bolker, I re-post the following question in this
list.
Thanks
Dear R users,
I?d like to pose aquestion about pMCMC and HDP.
I have performed a mixed logistic regression by MCMCglmm (a very good
obtaining the following results:
Iterations = 250001:799901
Thinning interval = 100
Sample size = 5500
DIC: 10.17416
G-structure: ~ID_an
post.mean l-95% CI u-95% CIeff.samp
ID_an 0.7023 0.0001367 3.678 2126
R-structure: ~units
post.mean l-95% CIu-95% CI eff.samp
units 1 1 1 0
Location effects: febbreq~ as.factor(sex)
post.mean l-95% CIu-95% CI eff.samp pMCMC
(Intercept) -3.6332 -5.6136 -1.7719 3045 <2e-04 ***
as.factor(sex)M -2.9959 -6.0690 0.1969 2628 0.0455 *
---
Signif. codes: 0 ?***?0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1
As you can see, pMCMC for gender is just less than 5%, but the
credible
interval (HPD) is wide and includes the 0 value.
How can I interpret these different results?
Thank you in advance
Massimo
-----------------------
Massimo Fenati
DVM
Padova - Italy