spaPDM: Generates Sparse Symmetric Positive Definite Random Matrices.
In Rene-Gutierrez/BayTenGraMod: Bayesian Tensor Graphical Model
Description
Usage
Arguments
Value
Author(s)
Description
This function generates Sparse Symmetric Positive Definitive Matrices
according to the adjacency matrix provided and certain degrees of freedom.
The whole procedure follows, ...
Usage
1
spaPDM(b, E)
Arguments
b
Degrees of Freedom for Sampling from the Gwishart distribution.
E
The Edge or Adjacency matrix for sampling from the GWishart
distribution.
Value
A random Sparse Symmetric Positive Definite matrix that has zero
entries whenever the adjacency matrix has a zero entry.
Author(s)
Rene Gutierrez Marquez
Rene-Gutierrez/BayTenGraMod documentation built on Dec. 12, 2020, 11:24 a.m.
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Description Usage Arguments Value Author(s)
Description
This function generates Sparse Symmetric Positive Definitive Matrices according to the adjacency matrix provided and certain degrees of freedom. The whole procedure follows, ...
Usage
1 | spaPDM(b, E)
|
Arguments
b |
Degrees of Freedom for Sampling from the Gwishart distribution. |
E |
The Edge or Adjacency matrix for sampling from the GWishart distribution. |
Value
A random Sparse Symmetric Positive Definite matrix that has zero entries whenever the adjacency matrix has a zero entry.
Author(s)
Rene Gutierrez Marquez
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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