ParallelPC (version 1.2)

zf: Gaussian conditional independence test

Description

Gaussian conditional independence test. See the zf function in the bnlearn package for more details.

Usage

zf(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 data matrix with rows are samples and columns are the 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 zf
##########################################
library(bnlearn)
library(pcalg)
data("gmG")
suffStat<-gmG$x
zf(1,2,3,suffStat)