Description Usage Arguments Value References See Also Examples
This function computes the matrix of simultaneous p-values for SIN model selection for undirected (or concentration) 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 |
skull length skull breadth humerus ulna femur
skull length NA 0.0000000 0.7234760 0.7234760 0.8804878
skull breadth 0.0000000 NA 0.0236927 0.4509763 0.8804878
humerus 0.7234760 0.0236927 NA 0.0000000 0.0457360
ulna 0.7234760 0.4509763 0.0000000 NA 0.4157199
femur 0.8804878 0.8804878 0.0457360 0.4157199 NA
tibia 0.6280184 0.5533328 0.7234760 0.0036711 0.0000000
tibia
skull length 0.6280184
skull breadth 0.5533328
humerus 0.7234760
ulna 0.0036711
femur 0.0000000
tibia NA
skull length skull breadth humerus ulna femur
skull length NA 0.0000000 0.9896870 0.9898033 0.9999999
skull breadth 0.0000000 NA 0.0321684 0.6751123 1.0000000
humerus 0.9896870 0.0321684 NA 0.0000000 0.0678134
ulna 0.9898033 0.6751123 0.0000000 NA 0.5916475
femur 0.9999999 1.0000000 0.0678134 0.5916475 NA
tibia 0.9156075 0.8221861 0.9788555 0.0045867 0.0000000
tibia
skull length 0.9156075
skull breadth 0.8221861
humerus 0.9788555
ulna 0.0045867
femur 0.0000000
tibia NA
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