sg.bern.subgraph_estimator: Bernoulli Subgraph Estimator
In neurodata/subgraphing: Signal Subgraphs and Extensions
Description
Usage
Arguments
Value
See Also
Description
sg.beta.subgraph_estimator A function to produce estimators for bernoulli graphs needed to compute subgraphs.
Usage
1
sg.bern.subgraph_estimator(samp, Y)
Arguments
samp
[n x n x s] an array of graph samples. Should be binary (0 or 1).
Y
[s] the class labels.
Value
cont_matrix [n, n, c, 2] a contingency table for each edge, where each contingency
table has either connected or unconnected for each class.
See Also
neurodata/subgraphing documentation built on May 21, 2019, 8:10 a.m.
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Description Usage Arguments Value See Also
Description
sg.beta.subgraph_estimator A function to produce estimators for bernoulli graphs needed to compute subgraphs.
Usage
1 | sg.bern.subgraph_estimator(samp, Y)
|
Arguments
samp |
[n x n x s] an array of graph samples. Should be binary (0 or 1). |
Y |
[s] the class labels. |
Value
cont_matrix [n, n, c, 2] a contingency table for each edge, where each contingency table has either connected or unconnected for each class.
See Also
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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