[R-sig-ME] Interpretation of Posterior distribution produced by MCMCglmm
Yannis Dim.
jd|mopou|o@21 @end|ng |rom gm@||@com
Wed Sep 30 10:57:16 CEST 2020
Dear list,
I have a comparative phylogenetic model with a binary response variable, 4
binary explanatory variables as fixed effects and the phylogeny as a random
effect. I would greatly appreciate it if someone could help me interpret
the output of the model, particularly the density plots of (Intercept),
location_selection and material_transport, which I have attached. As you
can see these three variables have a triangular posterior distribution, and
although I have found a few papers of triangular distribution, they talk
about the prior distribution. I haven't found anything about a triangular
posterior distribution. Following is also the output of the model, in case
that helps:
Iterations = 120000001:1319999501
Thinning interval = 500
Sample size = 2400000
DIC: 71.74413
G-structure: ~phylo
post.mean l-95% CI u-95% CI eff.samp
phylo 3.841 1.215e-11 9.991 1567107
R-structure: ~units
post.mean l-95% CI u-95% CI eff.samp
units 1 1 1 0
Location effects: care01 ~ location_selection +
substrate_modification + material_transport + laying_location_is_food
post.mean l-95% CI u-95% CI eff.samp pMCMC
(Intercept) -250.852 -568.741 -5.698 1648 < 4e-07 ***
location_selection 246.618 1.747 564.414 1648 0.000358 ***
substrate_modification 6.168 3.514 9.248 1651692 < 4e-07 ***
material_transport 475.747 165.100 706.887 1079 1e-05 ***
laying_location_is_food 0.187 -2.019 2.408 2393680 0.858883
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Many thanks in advance,
Yannis Dimopoulos
PhD Student - The University of Hull
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