Description Usage Arguments Value References Examples
The sequential Monte Carlo permutation test for Gaussian conditional independence test. See the smc-zf function in the bnlearn package for more details.
smczf(x, y, S, suffStat)
It is tested, whether x and y are conditionally independent given the subset S of the remaining nodes. x, y, S all are integers, corresponding to variable or node numbers.
The data matrix with rows are samples and columns are variables.
The p-value of the test.
Marco Scutari (2010). Learning Bayesian Networks with the bnlearn R Package. Journal of Statistical Software, 35(3), 1-22.
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