Displaying 6 results from an estimated 6 matches for "pmcmc".
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2011 Aug 23
1
pMCMC and HPD in MCMCglmm
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 package)
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...
2011 Jun 17
2
Using MCMC sampling to estimate p values with a mixed model
...od to see if there are
any significant main effects or interactions. However, when I looked at the
p values some are showing as significant although the F value is less than
1. Is it possible to have a significant effect with an F value below 1?.
I have a sample size of 150 and have read that the pMCMC values can be
anti-conservative so wonder if it is because my sample size may be too
small?.
Thank you for any help
--
View this message in context: http://r.789695.n4.nabble.com/Using-MCMC-sampling-to-estimate-p-values-with-a-mixed-model-tp3606654p3606654.html
Sent from the R help mailing list a...
2018 Mar 22
2
MCMCglmm multinomial model results
...,
nitt = iter,
family = "multinomial5",
data = data,
pr=TRUE,
pl=TRUE,
DIC = TRUE,
verbose = FALSE)
And the summary of the main effects:
post.mean l-95% CI u-95% CI eff.samp pMCMC
traitOpp_teacher -3.828752 -4.616731 -3.067424 184.4305 5.263158e-05
traitDir_teacher -3.400481 -4.041069 -2.813063 259.1084 5.263158e-05
traitEnh_teacher -1.779129 -2.197415 -1.366496 624.9759 5.263158e-05
traitSocTol_teacher -2.852684 -3.429799 -2.332909 468.7098 5.263158e-05
It is not...
2018 Mar 23
0
MCMCglmm multinomial model results
...rly labeled so you may not have included the full output.)
--
David.
> pr=TRUE,
> pl=TRUE,
> DIC = TRUE,
> verbose = FALSE)
>
> And the summary of the main effects:
>
> post.mean l-95% CI u-95% CI eff.samp pMCMC
> traitOpp_teacher -3.828752 -4.616731 -3.067424 184.4305 5.263158e-05
> traitDir_teacher -3.400481 -4.041069 -2.813063 259.1084 5.263158e-05
> traitEnh_teacher -1.779129 -2.197415 -1.366496 624.9759 5.263158e-05
> traitSocTol_teacher -2.852684 -3.429799 -2.332909 468.7098 5.26...
2018 Mar 24
1
MCMCglmm multinomial model results
...output.)
>
> --
> David.
> > pr=TRUE,
> > pl=TRUE,
> > DIC = TRUE,
> > verbose = FALSE)
> >
> > And the summary of the main effects:
> >
> > post.mean l-95% CI u-95% CI eff.samp pMCMC
> > traitOpp_teacher -3.828752 -4.616731 -3.067424 184.4305 5.263158e-05
> > traitDir_teacher -3.400481 -4.041069 -2.813063 259.1084 5.263158e-05
> > traitEnh_teacher -1.779129 -2.197415 -1.366496 624.9759 5.263158e-05
> > traitSocTol_teacher -2.852684 -3.429799 -2....
2008 Oct 29
0
reporting interactions of factors in linear mixed effects models
...del is specified with the following formula:
model <- lmer(RT~ facA*facB*facC - facA:facB:facC - facB:facC
+ + varA + varB + varC + ... + (1|subject) + (1|
item), data=alldata)
Here are the estimates of the fixed effects:
Estimate Std.Err t.value pMCMC
(Intercept) 0.896 0.038 23.346 0.000
facA2 -0.011 0.054 -0.204 0.811
facB2 -0.024 0.007 -3.656 0.000
facC2 0.099 0.012 8.040 0.000
facC3 0.160 0.011 14.428 0.000
var1...