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createR<-function(mean,Sigma,pro,X){
# Computation of pairwise probabilities P_{ij}
# Function called by bootclus
N<-nrow(X)
G<-length(pro)
varpar<-mclustVariance("VVV",ncol(X),G)
varpar$cholsigma<-simplify2array(alply(Sigma,3,chol))
par<-list(pro=pro,mean=mean,variance=varpar)
P<-cdens(modelName="VVV",data=X,parameters = par)*matrix(pro,N,G,byrow=TRUE)
P<-P/matrix(rowSums(P),N,G)
R<-P%*%t(P)
}
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