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It should be easy enough to write a method based on the fit.mle ones that takes a vector of parameters and makes a unit tree. This is easiest for BM with one parameter, but given we have a standard list of names, we could require (or assume) those.
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Comment by richfitz from Thursday Oct 03, 2013 at 06:27 GMT
I think that there are limited cases where this could be useful; there is one such case in the "BM tree rescaling worked (diversitree, mcmc)" test in test-unit-tree.R (see lines 64-67 here, which could be replaced by as.unit.tree(lik.bm, coef(samples.bm)[idx,] if we allowed something like this. Not sure if it's worth it, but not too much work either.
Yeah, for things like multipeak OU and auteur models it could be a bit harder, but with a likelihood function at least the order of the arguments is well defined.
Issue by richfitz from Tuesday Oct 01, 2013 at 06:05 GMT
Originally opened as traitecoevo/modeladequacy#21
It should be easy enough to write a method based on the fit.mle ones that takes a vector of parameters and makes a unit tree. This is easiest for BM with one parameter, but given we have a standard list of names, we could require (or assume) those.
The text was updated successfully, but these errors were encountered: