Learn R Programming

SIN (version 0.6)

sinBG: SIN for bidirected graphs

Description

This function computes the matrix of simultaneous p-values for SIN model selection for bidirected (or covariance) graphs.

Usage

sinBG(S,n,holm=TRUE)

Arguments

S
a covariance or correlation matrix.
n
the sample size,
holm
Boolean variable indicating whether Holm's p-value adjustment should be used (holm=TRUE) or not (holm=FALSE).

Value

A matrix of simultaneous p-values with NA on the diagonal.

References

Drton, M. \& Perlman, M.D. (2004) Model Selection for Gaussian Concentration Graphs. Biometrika 91(3): 591-602. Drton, M. \& Perlman, M.D. (2008) A SINful Approach to Gaussian Graphical Model Selection. J. Statist. Plann. Inference 138(4): 1179-1200.

See Also

plotBGpvalues

Examples

Run this code
data(stressful)
sinBG(stressful$corr,stressful$n)
sinBG(stressful$corr,stressful$n,holm=FALSE)

Run the code above in your browser using DataLab