ParallelPC (version 1.2)

smccor: The sequential Monte Carlo permutation test (smc-cor)

Description

The sequential Monte Carlo permutation test. See bnlearn package for details.

Usage

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