Description Usage Arguments Value References See Also Examples
This function computes the matrix of simultaneous p-values for SIN model selection for bidirected (or covariance) graphs.
1 |
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). |
A matrix of simultaneous p-values with NA
on the diagonal.
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.
1 2 3 |
cognitive avoidance vigilance blunting monitoring
cognitive avoidance NA 0.3207896 0.0001806 0.9956171
vigilance 0.3207896 NA 1.0000000 0.0001359
blunting 0.0001806 1.0000000 NA 0.5056668
monitoring 0.9956171 0.0001359 0.5056668 NA
cognitive avoidance vigilance blunting monitoring
cognitive avoidance NA 0.4402340 0.0002167 0.9999999
vigilance 0.4402340 NA 1.0000000 0.0001359
blunting 0.0002167 1.0000000 NA 0.7556347
monitoring 0.9999999 0.0001359 0.7556347 NA
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