mczf {ParallelPC}

The Monte Carlo permutation test for Gaussian conditional independence test

Description

The Monte Carlo permutation test for Gaussian conditional independence test. See the mc-zf function in the bnlearn package for more details.

Usage

mczf(x, y, S, suffStat)

Arguments

x, y, S

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.

suffStat

The dataset in matrix format with rows are samples and columns are variables.

Value

the p-value of the test.

References

Marco Scutari (2010). Learning Bayesian Networks with the bnlearn R Package. Journal of Statistical Software, 35(3), 1-22.

Examples

##########################################
## Using mczf
##########################################
library(bnlearn)
library(pcalg)
data("gmG")
suffStat<-gmG$x
mczf(1,2,3,suffStat)