[R-sig-ME] Extracting specific samples from MCMCglmm

[Ben Bolker]

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  I believe that if m is a an MCMCglmm fit, m$Liab will get you the
"Posterior distribution of latent variables" (see ?MCMCglmm); I'm not
sure whether there is useful information about the structure encoded in
the object, but see if colnames(m$Liab) gets you something helpful.

  Ben Bolker


On 02/04/2011 02:50 PM, Robin Jeffries wrote:
> Or alternatively, can I get the samples of the individual random effects out
> of MCMC glmm?
> 
> 


> 
> 
> On Fri, Feb 4, 2011 at 11:01 AM, Robin Jeffries <rjeffries at ucla.edu> wrote:
> 
>> Hello,
>>
>> I'm very new at using MCMCglmm, so my apologies if my question is
>> rudimentary. I can't even create a sufficient toy example to assist my
>> explanation of what I'm trying to achieve. I've been working in lmer on this
>> for a little while, but since my end result is prediction for specific
>> levels of my random effects, L-serv consensus seems to be that I switch to
>> MCMCglmm.
>>
>>
>> I'm running prediction models on some gaussian (and separately binomial)
>> outcome where I have random intercepts and slopes - within factors.
>>
>> random=~ us(1+slope1 + slope2):Factor1 + us(1+slope1):Factor 2 + Factor3
>>
>> The short question is how do I create prediction intervals for specific
>> levels of Factors 1-3?
>>
>>
>>
>>
>>
>>
>>
>> Robin Jeffries
>> MS, DrPH Candidate
>> Department of Biostatistics
>> UCLA
>> 530-624-0428
>>
>>
> 
> 	[[alternative HTML version deleted]]
> 
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