RCI_noY <- function(X,Y,alpha=0.2){
# checked 1/1/22
time = proc.time()
outL = DirectLiNGAM_fast(X)
# outL = DirectLiNGAM(X)
time = (proc.time() - time)[3]
K = outL$K;
if (length(K)==0){
delta = matrix(0,nrow(X),ncol(X))
return(list(delta=delta,K=K))
}
E = outL$X[,order(K),drop=FALSE]
K = sort(K)
## patient-specific root causes
beta = glm.fit(cbind(E,1),Y,family=binomial())$coefficients[1:length(K)]
if (length(beta)==1){
delta = E * beta
} else{
delta = E %*% diag(beta)
}
return(list(scores=delta,order=K,E=E, time = time))
}
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