Thank you everyone for your help, I really appreciate it!
On Wed, Jul 26, 2017 at 11:55 AM, Jarrod Hadfield
wrote:
> Hi Jesse,
>
> In order to account for phylogenetic uncertainty you are better just
> pulling trees from their posterior rather than choosing trees that are
> incongruent. The latter will give estimates biased toward those associated
> with extreme trees.
>
> If the analysis is the binomial model you posted on R-sig-mixed you can
> speed up the analysis by passing the latent variables from one model as the
> starting values in the next model without a long burn-in. If the data are
> Gaussian you just need to pass the (co)varinaces as starting values.
>
> Code is below. It is untested, and clearly you need to replace ... with
> the exact specifications of the model.
>
> Note that this type of approach is still biased towards a lambda/h2 of 0.
> To fix that you would need to simultaneously estimate the phylogeny and the
> parameters of the comparative analysis. The bias is probably small if the
> tree is well estimated, and doing it 'properly' would be difficult -
> perhaps BEAST can do it.
>
> Cheers,
>
> Jarrod
>
> ntree<-100 # number of trees
>
> nsample<-100 # number of samples per tree
>
> thin<-10 # thinning interval
>
> model_all<-MCMCglmm(, pl=TRUE) # initial model object to which
> results will be written
>
> model_i<-model_all
>
> model_all$Sol<-matrix(NA, nsample*ntree, ncol(model_all$Sol))
>
> model_all$VCV<-matrix(NA, nsample*ntree, ncol(model_all$VCV))
>
> # create empty matrices for writing results from each tree
>
> for(i in 1:ntree){
>
> # iterate over trees
>
> model_i<-MCMCglmm(, pl=TRUE, start=list(liab=model_i$Liab[nsample,]),
> pedigree=tree[[i]], burnin=thin, thin=thin, nitt=thin*(nsample+1))
>
> # fit model to tree i using starting values from previous model
>
> model_all$Sol[(i-1)*nsample+1:nsample]<-model_i$Sol
>
> model_all$VCV[(i-1)*nsample+1:nsample]<-model_i$VCV
>
> }
>
> model_all$Sol<-mcmc(model_all$Sol, thin=thin)
>
> model_all$VCV<-mcmc(model_all$VCV, thin=thin)
>
>
>
> On 26/07/2017 16:06, Santiago Sánchez wrote:
>
>> Hi Jesse,
>>
>> As Eduardo says, if in fact you want to see how different trees are from a
>> "consensus", something that you could try is find the
>> maximum-clade-credibility (MCC) tree (you can do this with treeAnnotator
>> from BEAST). This will be a fully bifurcating tree and is essentially the
>> tree in the posterior distribution that maximizes the overall clade
>> posterior probabilities (e.g. sum(posterior)). Once you have the MCC tree,
>> you can use the Robinson-Foulds distance metric (there is a function in
>> phytools) to compare all the topologies in your posterior distribution.
>> The
>> trees with the lowest values will be the most incongruent with respect to
>> the MCC tree. Just remember to exclude the burnin.
>>
>> Cheers,
>> Santiago
>>
>> On Wed, Jul 26, 2017 at 6:01 AM
>> wrote:
>>
>> Send R-sig-phylo mailing list submissions to
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>>> Today's Topics:
>>>
>>> 1. selecting a set of incongruent trees from a posterior
>>>distribution (Jesse Delia)
>>> 2. Re: selecting a set of incongruent trees from a posterior
>>>distribution (Eduardo Ascarrunz)
>>>
>>>
>>> --
>>>
>>> Message: 1
>>> Date: Tue, 25 Jul 2017 16:16:30 -0400
>>> From: Jesse Delia
>>> To: R-sig-phylo@r-project.org
>>> Subject: [R-sig-phylo] selecting a set of incongruent trees from a
>>> posterior distribution
>>> Message-ID:
>>> <
>>> ca+lom6ehmv6c2v_lso8b2sdqqvoqwfcrl56-4jhcmicvjyv...@mail.gmail.com>
>>> Content-Type: text/plain; charset="UTF-8"
>>>
>>> Dear list,
>>>
>>> Does anyone know of a function or script that could select a set of the
>>> most incongruent trees from a list of trees? Maybe I missed a post, but
>>> haven't found anything.
>>>
>>> I running mixed models, which take a lot of computational space on my lap
>>> top. In effort to account for phylogenetic uncertainty, without having to
>>> run 100s of chains, I figured maybe i could run models across a (much)
>>> shorter list that accounts for more diversity in tree shape observed
>>> within
>>> the posterior distribution. Not sure if this makes sense, and/or is
>>> extremely complicated?
>>>
>>> Thanks for you time!
>>>
>>> Jesse
>>>
>>> [[alternative HTML version deleted]]
>>>
>>>
>>>
>>> --
>>>
>>> Message: 2
>>> Date: Wed, 26 Jul
