DBNmat: An adjacency matrix of a dynamic Bayesian network
In BiDAG: Bayesian Inference for Directed Acyclic Graphs
DBNmat R Documentation
An adjacency matrix of a dynamic Bayesian network
Description
An adjacency matrix representing the ground truth DBN used to generate a synthetic dataset DBNdata. The matrix is a compact representation of a 2-step DBN, such that initial structure is stored in the first 15 columns of the matrix and transitional structure is stored in the last 12 columns of the matrix.
Usage
DBNmat
Format
A binary matrix with 27 rows and 27 columns representing an adjacency matrix of a DBN. Rows and columns of the matrix correspond to 15 variables of a DBN across 2 time slices.
BiDAG documentation built on May 31, 2023, 6:46 p.m.
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| DBNmat | R Documentation |
An adjacency matrix of a dynamic Bayesian network
Description
An adjacency matrix representing the ground truth DBN used to generate a synthetic dataset DBNdata. The matrix is a compact representation of a 2-step DBN, such that initial structure is stored in the first 15 columns of the matrix and transitional structure is stored in the last 12 columns of the matrix.
Usage
DBNmat
Format
A binary matrix with 27 rows and 27 columns representing an adjacency matrix of a DBN. Rows and columns of the matrix correspond to 15 variables of a DBN across 2 time slices.
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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