DBNunrolled: An unrolled adjacency matrix of a dynamic Bayesian network
In BiDAG: Bayesian Inference for Directed Acyclic Graphs
DBNunrolled R Documentation
An unrolled 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 an unrolled representation of a 2-step DBN, such that the static variables are represented in the first 3 columns/rows of the matrix.
Usage
DBNunrolled
Format
A binary matrix with 63 rows and 63 columns representing an adjacency matrix of a DBN. Rows and columns of the matrix correspond to 15 variables (s1, s2, s3, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12) of a DBN across 5 time slices.
BiDAG documentation built on May 31, 2023, 6:46 p.m.
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| DBNunrolled | R Documentation |
An unrolled 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 an unrolled representation of a 2-step DBN, such that the static variables are represented in the first 3 columns/rows of the matrix.
Usage
DBNunrolled
Format
A binary matrix with 63 rows and 63 columns representing an adjacency matrix of a DBN. Rows and columns of the matrix correspond to 15 variables (s1, s2, s3, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12) of a DBN across 5 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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