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phyclust
by combining two functions bootstrap.star.trees
and
bootstrap.seq
.
The fitted model can be varied in .identifier
.bootstrap.star.trees.seq(ret.phyclust, min.n.class = 1)
Class phyclust
.ret.phyclust
, including:ret.phyclust
ret.phyclust
is a phyclust object in Class phyclust
which is usually
fitted by phyclust
, or returned by phyclust.m.step
. min.n.class
is a boundary condition to avoid degenerate clusters
when some population proportions, $\eta_k$, are small in the
fitted model.
phyclust
,
bootstrap.star.trees
,
bootstrap.seq
.set.seed(1234)
EMC.1 <- .EMC
EMC.1$EM.iter <- 1
# the same as EMC.1 <- .EMControl(EM.iter = 1)
ret.1 <- phyclust(seq.data.toy$org, 2, EMC = EMC.1)
ret.all <- bootstrap.star.trees.seq(ret.1)
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