SMLEdecomposable: Local Maximum Likelihood Estimation
In simPATHy: A Method for Simulating Data from Perturbed Biological Pathways
Description
Usage
Arguments
Value
References
View source: R/main_function.R
Description
Compute a maximum likelihood estimate of a covariance matrix in a decomposable Gaussian graphical model.
Usage
1
SMLEdecomposable(S, graph)
Arguments
S
a covariance matrix.
graph
a decomposable graph represented as a graphNEL object.
Value
The MLE of a covarince matrix.
References
Lauritzen, S. L. (1996). Graphical Models. Clarendon Press, Oxford.
simPATHy documentation built on Nov. 23, 2021, 5:07 p.m.
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Description Usage Arguments Value References
View source: R/main_function.R
Description
Compute a maximum likelihood estimate of a covariance matrix in a decomposable Gaussian graphical model.
Usage
1 | SMLEdecomposable(S, graph)
|
Arguments
S |
a covariance matrix. |
graph |
a decomposable graph represented as a graphNEL object. |
Value
The MLE of a covarince matrix.
References
Lauritzen, S. L. (1996). Graphical Models. Clarendon Press, Oxford.
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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