layer_adj: The function of converting the adjacency matrix into the...
In TransGraph: Transfer Graph Learning
layer_adj R Documentation
The function of converting the adjacency matrix into the topological layer.
Description
The function of converting the adjacency matrix into the topological layer.
Usage
layer_adj(true_adjace)
Arguments
true_adjace
a p * p adjacency matrix
Value
Layer_true: a p * 2 matrix to store the information of layer. The first column is the node label, and the second column is the corresponding layer labels.
Author(s)
Mingyang Ren renmingyang17@mails.ucas.ac.cn.
References
Zhao, R., He X., and Wang J. (2022). Learning linear non-Gaussian directed acyclic graph with diverging number of nodes. Journal of Machine Learning Research.
TransGraph documentation built on Oct. 19, 2023, 5:06 p.m.
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| layer_adj | R Documentation |
The function of converting the adjacency matrix into the topological layer.
Description
The function of converting the adjacency matrix into the topological layer.
Usage
layer_adj(true_adjace)
Arguments
true_adjace |
a p * p adjacency matrix |
Value
Layer_true: a p * 2 matrix to store the information of layer. The first column is the node label, and the second column is the corresponding layer labels.
Author(s)
Mingyang Ren renmingyang17@mails.ucas.ac.cn.
References
Zhao, R., He X., and Wang J. (2022). Learning linear non-Gaussian directed acyclic graph with diverging number of nodes. Journal of Machine Learning Research.
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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