BIC_SSLasso: BIC for SSLasso model
In garyganuiuc/SSLasso: Sparse Precision Matrix Estimation with Bayesian Regularization
Description
Compute the BIC for the model selected.
Usage
1
BIC_SSLasso(Theta, S, P, n)
Arguments
Theta
The precision matrix estimated
S
Sample covariance matrix
P
The sparsity pattern matrix
n
Number of observations
garyganuiuc/SSLasso documentation built on May 16, 2019, 5:43 p.m.
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Description
Compute the BIC for the model selected.
Usage
1 | BIC_SSLasso(Theta, S, P, n)
|
Arguments
Theta |
The precision matrix estimated |
S |
Sample covariance matrix |
P |
The sparsity pattern matrix |
n |
Number of observations |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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