Plot transition probabilities
Description
Plot the probabilities of staying in the same state for a non-homogenous hidden Markov model.
Usage
1 |
Arguments
x |
Vector of distances between observations |
beta |
beta parameter of the transition matrix. Must be a square matrix with the same size as the number of hidden states |
q |
q parameter of the transition matrix. Must be a square matrix with the same size as the number of hidden states |
col |
vector of colors for each state. Must be of the same size as the number of hidden states |
... |
aditional arguments passed to plot |
Details
Please note that RJaCGH model imposes that q
is -beta
, and
distances are normalized to lay between 0 and 1.
Value
A plot is produced showing the probability of staying in the same hidden state versus distance between adjacent genes, for every state.
Author(s)
Oscar M. Rueda and Ramon Diaz-Uriarte
References
Rueda OM, Diaz-Uriarte R. Flexible and Accurate Detection of Genomic Copy-Number Changes from aCGH. PLoS Comput Biol. 2007;3(6):e122
Examples
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