loglikGGM: Compute log likelihood for Gaussian Distr
In WY-Chen/DAGDNA: Definite Non-Ancestral Relations and Structure Learning
Description
Usage
Arguments
Value
Description
Use either covariance, prevision, or SEM weights and error cov
Usage
1
Arguments
S:
Sample Covariance matrix
Theta:
Precision model
Sigma:
Covariance model
A:
Weights in linear SEM
Omega:
Error cov in linear SEM
Value
loglikelihood
WY-Chen/DAGDNA documentation built on Dec. 18, 2021, 7:14 p.m.
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Description Usage Arguments Value
Description
Use either covariance, prevision, or SEM weights and error cov
Usage
1 |
Arguments
S: |
Sample Covariance matrix |
Theta: |
Precision model |
Sigma: |
Covariance model |
A: |
Weights in linear SEM |
Omega: |
Error cov in linear SEM |
Value
loglikelihood
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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