states.hmm.func {aCGH} | R Documentation |
A function to fit unsupervised Hidden Markov model
Description
This function is a workhorse of find.hmm.states
. It
operates on the individual chromosomes/samples and is not called
directly by users.
Usage
states.hmm.func(sample, chrom, dat, datainfo = clones.info, vr = 0.01,
maxiter = 100, aic = FALSE, bic = TRUE, delta = 1,
nlists = 1, eps = .01, print.info = FALSE,
diag.prob = .99)
Arguments
sample |
~~Describe sample here~~ |
chrom |
~~Describe chrom here~~ |
dat |
~~Describe dat here~~ |
datainfo |
~~Describe datainfo here~~ |
vr |
~~Describe vr here~~ |
maxiter |
~~Describe maxiter here~~ |
aic |
~~Describe aic here~~ |
bic |
~~Describe bic here~~ |
delta |
~~Describe delta here~~ |
nlists |
~~Describe nlists here~~ |
eps |
parameter controlling the convergence of the EM
algorithm. |
print.info |
print.info = T allows diagnostic information to be
printed on the screen. |
diag.prob |
parameter controlling the construction of the
initial transition probability matrix. |
See Also
aCGH
[Package
aCGH version 1.16.0
Index]