sg.bern.subgraph_edge_estimation: Bernoulli Subgraph Edge Estimation
In neurodata/subgraphing: Signal Subgraphs and Extensions
Description
Usage
Arguments
Value
See Also
Description
sg.bern.subgraph_classifier orders the edges by test statistic results depending on the estimator type specified.
Usage
1
sg.bern.subgraph_edge_estimation(tstats, e, coherent = FALSE)
Arguments
tstats
[n x n] the test-statistic results.
e
the number of edges to look for, arbitrarily breaking ties as necessary.
coherent=FALSE
if FALSE, estimate an incoherent subgraph, otherwise an integer indicating the number of vertices in the coherent subgraph.
Value
edges [n*n] the edges in the graph ordered by test statistic depending on the estimator type.
See Also
sg.bern.compute_graph_statistics
neurodata/subgraphing documentation built on May 21, 2019, 8:10 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 Usage Arguments Value See Also
Description
sg.bern.subgraph_classifier orders the edges by test statistic results depending on the estimator type specified.
Usage
1 | sg.bern.subgraph_edge_estimation(tstats, e, coherent = FALSE)
|
Arguments
tstats |
[n x n] the test-statistic results. |
e |
the number of edges to look for, arbitrarily breaking ties as necessary. |
coherent=FALSE |
if FALSE, estimate an incoherent subgraph, otherwise an integer indicating the number of vertices in the coherent subgraph. |
Value
edges [n*n] the edges in the graph ordered by test statistic depending on the estimator type.
See Also
sg.bern.compute_graph_statistics
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.