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memcontrol
2010 Jan 06
1
positive log likelihood and BIC values from mCLUST analysis
...############
#Use the points determined by MDS to perform EM clustering.
#Allow only the unconstrained models. Sometimes, constrained models mess
things up!
EMclusters <- mclustBIC(mds$points, G=Clusterrange, modelNames= c("VII",
"VVI", "VVV"), prior=NULL, control=emControl(),
initialization=list(hcPairs=NULL, subset=NULL, noise=NULL),
Vinv=NULL, warn=FALSE, x=NULL)
The input data are in the form of an N X N matrix of pairwise genetic
distances between strains. Those distances can either be the total
number of differences over X characters, or c...