runHomHMM {snapCGH} | R Documentation |
This function fits an unsupervised Hidden Markov model to a given
MAList
or SegList
runHomHMM(input, vr = 0.01, maxiter = 100, criteria = "AIC", delta = NA, full.output = FALSE, eps = 0.01)
input |
|
vr |
Gets passed to the function |
maxiter |
Gets passed to the function |
criteria |
Choice of which selection criteria should be used in the algorithm. The choices are either AIC or BIC |
.
delta |
Delta value used of the BIC is selected. If no value is entered it defaults to 1. |
full.output |
if true the SegList output includes a probability that a clone is in its assigned state and a smoothed value for the clone. |
eps |
parameter controlling the convergence of the EM algorithm. |