Re: [R-sig-phylo] Pagel 94 Baysian Version 3 states?

2016-06-14 Thread mailbox Franz
Hi Manabu,

thanks for that! 
I can see the discrete model allows 2 binaries. There is no implementation of a 
3 binaries model as a pendant to corDISC, I guess?!

Cheers,
Franz


> Am 14.06.2016 um 11:17 schrieb Manabu Sakamoto :
> 
> Hi Franz,
> 
> It is implemented in BayesTraits 
> (http://www.evolution.rdg.ac.uk/BayesTraits.html 
> ).
> I know it's not R, and it's a command line based program, so might take a 
> while to get used to, but BayesTraits is really powerful (and it's Bayesian!)
> 
> thanks,
> Manabu
> 
> On 14 June 2016 at 09:58, mailbox Franz  > wrote:
> Hi everybody,
> 
> does anyone know if the bayesian version of Pagels 94 Method of correlated 
> binary traits is implemented in R somewhere?
> There is the corHMM package which implements a 3-state ML version of it, but 
> I couldn’t find a Baysian version anywhere.
> 
> So I search for a Bayesian version of a 2 or 3 binary state correlated 
> evolution method (preferably in R).
> 
> The Paper I refer to is:
> 
> http://www.ncbi.nlm.nih.gov/pubmed/16685633 
> 
> 
> All the best,
> Franz
> 
> ___
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> 
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> 
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> 
> 
> 
> -- 
> Manabu Sakamoto, PhD
> manabu.sakam...@gmail.com 

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Re: [R-sig-phylo] Pagel 94 Baysian Version 3 states?

2016-06-14 Thread Manabu Sakamoto
Hi Franz,

It is implemented in BayesTraits (
http://www.evolution.rdg.ac.uk/BayesTraits.html).
I know it's not R, and it's a command line based program, so might take a
while to get used to, but BayesTraits is really powerful (and it's
Bayesian!)

thanks,
Manabu

On 14 June 2016 at 09:58, mailbox Franz  wrote:

> Hi everybody,
>
> does anyone know if the bayesian version of Pagels 94 Method of correlated
> binary traits is implemented in R somewhere?
> There is the corHMM package which implements a 3-state ML version of it,
> but I couldn’t find a Baysian version anywhere.
>
> So I search for a Bayesian version of a 2 or 3 binary state correlated
> evolution method (preferably in R).
>
> The Paper I refer to is:
>
> http://www.ncbi.nlm.nih.gov/pubmed/16685633
>
> All the best,
> Franz
>
> ___
> R-sig-phylo mailing list - R-sig-phylo@r-project.org
> https://stat.ethz.ch/mailman/listinfo/r-sig-phylo
> Searchable archive at
> http://www.mail-archive.com/r-sig-phylo@r-project.org/




-- 
Manabu Sakamoto, PhD
manabu.sakam...@gmail.com

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