pml.control | R Documentation |
Auxiliary functions for optim.pml
fitting. Use it to construct
a control
or ratchet.par
argument.
pml.control(epsilon = 1e-08, maxit = 10, trace = 1, tau = 1e-08) ratchet.control(iter = 20L, maxit = 200L, minit = 50L, prop = 1/2, rell = TRUE, bs = 1000L)
epsilon |
Stop criterion for optimization (see details). |
maxit |
Maximum number of iterations (see details). |
trace |
Show output during optimization (see details). |
tau |
minimal edge length. |
iter |
Number of iterations to stop if there is no change. |
minit |
Minimum number of iterations. |
prop |
Only used if |
rell |
logical, if TRUE approximate bootstraping similar Minh et al. (2013) is performed. |
bs |
number of approximate bootstrap samples. |
pml.control
controls the fitting process. epsilon
and
maxit
are only defined for the most outer loop, this affects
pmlCluster
, pmlPart
and pmlMix
. epsilon
is
defined as (logLik(k)-logLik(k+1))/logLik(k+1), this seems to be a good
heuristics which works reasonably for small and large trees or alignments.
If trace
is set to zero than no out put is shown, if functions are
called internally than the trace is decreased by one, so a higher of trace
produces more feedback.
A list with components named as the arguments for controlling the fitting process.
Klaus Schliep klaus.schliep@gmail.com
Minh, B. Q., Nguyen, M. A. T., & von Haeseler, A. (2013). Ultrafast approximation for phylogenetic bootstrap. Molecular biology and evolution, 30(5), 1188-1195.
optim.pml
pml.control() pml.control(maxit=25)
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