sg.bern.subgraph_edge_estimation: Bernoulli Subgraph Edge Estimation
In neurodata/graphstats: Graph Statistics
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/graphstats documentation built on May 14, 2019, 5:19 p.m.
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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.
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