Hi, I am trying to use the pcalg package to do some causal inference on some high dimensional omics data (~ 30k variables). It takes forever to run and my machine get stuck. I just realized that conditional independence test can be calculated without using the correlation matrix (I think it's just looping through all the partial correlation calculation), I am wondering after getting all the edges (maybe in a format of two column matrix with source and targets in each one), then how to use pc, fci, rfci, etc to do the causal inference. Right now it seems that we need to supply a correlation matrix into those algorithms in the sufficient statistics argument. Thanks, -Jack [[alternative HTML version deleted]]