edgMat: Generates a Random Adjacency or Edge Matrix
In Rene-Gutierrez/BayTenGraMod: Bayesian Tensor Graphical Model
Description
Usage
Arguments
Value
Author(s)
Description
This function generates Random Adjacency or Edge Matrix of a specific size
and degree of sparsity.
Usage
1
Arguments
matSiz
A scalar specifying the size of the matrix. As the result is
a square matrix only a scalar is requiered.
spa
The degree of sparsity specified with a number from 0 to 1.
upp
An indicator indicating if the result should be an Upper
Triangular Matrix. The default is TRUE.
Value
A Random Square Matrix encoding the Adjacency of vertices on a
graph. If upp is TRUE (defualt) the result would by an upper
triangular matrix.
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 Random Adjacency or Edge Matrix of a specific size and degree of sparsity.
Usage
1 |
Arguments
matSiz |
A scalar specifying the size of the matrix. As the result is a square matrix only a scalar is requiered. |
spa |
The degree of sparsity specified with a number from 0 to 1. |
upp |
An indicator indicating if the result should be an Upper Triangular Matrix. The default is TRUE. |
Value
A Random Square Matrix encoding the Adjacency of vertices on a graph. If upp is TRUE (defualt) the result would by an upper triangular matrix.
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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