pml_bb | R Documentation |
pml_bb
for pml black box infers a phylogentic tree infers a tree using
maximum likelihood (ML).
pml_bb(x, model = NULL, rearrangement = "stochastic", method = "unrooted", start = NULL, tip.dates = NULL, ...)
x |
An alignment of class (either class |
model |
A string providing model (e.g. "GTR+G(4)+I"). Not necessary if a modelTest object is supplied. |
rearrangement |
Type of tree tree rearrangements to perform, one of "none", "NNI", "stochastic" or "ratchet" |
method |
One of "unrooted", "ultrametric" or "tiplabeled". |
start |
A starting tree can be supplied. |
tip.dates |
A named vector of sampling times associated to the tips / sequences. |
... |
Further arguments passed to or from other methods. |
pml_bb
is a convenience function combining pml
and
optim.pml
. If no tree is supplied, the function will generate a
starting tree. If a modelTest object is supplied the model will be chosen
according to BIC.
Currently very experimental and likely to change.
tip.dates
should be a named vector of sampling times, in any time
unit, with time increasing toward the present. For example, this may be in
units of “days since study start” or “years since 10,000 BCE”, but not
“millions of yearsago”.
pml_bb
returns an object of class pml.
Klaus Schliep klaus.schliep@gmail.com
optim.pml
, modelTest
, rtt
## Not run: data(woodmouse) tmp <- pml_bb(woodmouse) data(Laurasiatherian) mt <- modelTest(Laurasiatherian) fit <- pml_bb(mt) ## End(Not run)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.