DirectLiNGAM_slow_Y <- function(X,Y,alpha=0.2){
X = as.matrix(X)
K = c() #1
X = normalizeData(X) #3
Cov = cov(X) #4
U = 1:ncol(X) #2
repeat{ #11
U = U[ttest_fast(X[,U,drop=FALSE],Y,alpha=alpha)] ###
if (length(U)==0){ ###
break ###
} ###
root = FindRoot(X,U,Cov) #6
K = c(K,root) #7
U = U[-which(U==root)] #8
if (length(U)==0){
break
}
X = UpdateData(X,U,Cov,root) #9
Cov = UpdateCovMat(U,Cov,root) #10
}
return(list(K=K,X=X[,K,drop=FALSE])) #output
}
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