mergeFunc {aCGH} | R Documentation |
mergeFunc
takes the output of hmm.run.func (or find.hmm.states)
with a particular model selection criterion and iteratively merges the
states with means closer than a supplied threshold.
mergeHmmStates
is a frontend for mergeFunc
using
aCGH
object.
mergeHmmStates(aCGH.obj, model.use = 1, minDiff = 0.25) mergeFunc(statesres = states.bic, minDiff = 0.1)
aCGH.obj |
Object of class aCGH .
|
statesres |
the sublist of the states.hmm list output from
find.hmm.states for a given model selection crterion
|
minDiff |
The states whose predicted values are less than minDiff apart are merged into one state and all the predicited values are recomputed. |
model.use |
Model selection criterion to use, See find.hmm.states .
|
This function is intended to reduce effect of the possible small magnitude technological artifacts on the structure determination.
List containing states.hmm object is returned.
Jane Fridlyand
Application of Hidden Markov Models to the analysis of the array CGH data, Fridlyand et.al., JMVA, 2004