migsh: Shrinkage estimator for the mutual information (mi-g-sh)

Description Usage Arguments Value References Examples

View source: R/ParallelPC.R

Description

Shrinkage estimator for the mutual information. See bnlearn package for more details.

Usage

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migsh(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

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

ParallelPC documentation built on May 29, 2017, 11:34 p.m.

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