edit_dist_dag: A function to calculate the edit distance from the learned to...
In kelvinyangli/mbmml: Learn Markov blankets using Minimum Message Length
View source: R/edit_dist_dag.R
Description
The true and learned DAGs must be stored as adjacent matrix. The output is a
list consists of false positive, false negative, precision, recall and edit
distance. Edit distance between two DAGs is defined as the minimum number of
arc deletion and addition to turn dagL to dagT.
Usage
1
edit_dist_dag(dagL, dagT)
Arguments
dagL
The learned DAG.
dagT
The true DAG.
kelvinyangli/mbmml documentation built on June 29, 2020, 3:12 a.m.
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View source: R/edit_dist_dag.R
Description
The true and learned DAGs must be stored as adjacent matrix. The output is a list consists of false positive, false negative, precision, recall and edit distance. Edit distance between two DAGs is defined as the minimum number of arc deletion and addition to turn dagL to dagT.
Usage
1 | edit_dist_dag(dagL, dagT)
|
Arguments
dagL |
The learned DAG. |
dagT |
The true DAG. |
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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