shd: compute the Structural Hamming Distance between two adjacency...
In tavazzie/bnstructScore: Bayesian Network Structure Learning from Data with Missing Values
Description
Compute the Structural Hamming Distance between two adjacency matrices, that is,
the distance, in terms of edges, between two network structures. The lower the shd,
the more similar are the two network structures.
Usage
1
Arguments
g1
first adjacency matrix.
g2
second adjacency matrix.
tavazzie/bnstructScore documentation built on Dec. 23, 2021, 7:47 a.m.
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.
Description
Compute the Structural Hamming Distance between two adjacency matrices, that is,
the distance, in terms of edges, between two network structures. The lower the shd,
the more similar are the two network structures.
Usage
1 |
Arguments
g1 |
first adjacency matrix. |
g2 |
second adjacency matrix. |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.