omni: omni embedding
In youngser/gmmase: Graph Spectral Clustering
Description
Usage
Arguments
Author(s)
Description
Get the omnibus embedding and compute the test statistic,
which is given by the squared Frobenius norm between the two embeddings.
Usage
1
Arguments
A
a n x n matrix
B
a n x n matrix
d
an embedding dimension
nbs
a number of bootstrapping
do.null
a boolean to decide to calculate null distribution of the test statistics
runQ
a boolean to decide to calculate null distribution of the test statistics for the given graphs
pvec
an edge probability vector for ER random graphs for the null statistics
Author(s)
Youngser Park <youngser@jhu.edu>
youngser/gmmase documentation built on May 30, 2019, 7:19 p.m.
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Description Usage Arguments Author(s)
Description
Get the omnibus embedding and compute the test statistic, which is given by the squared Frobenius norm between the two embeddings.
Usage
1 |
Arguments
A |
a n x n matrix |
B |
a n x n matrix |
d |
an embedding dimension |
nbs |
a number of bootstrapping |
do.null |
a boolean to decide to calculate null distribution of the test statistics |
runQ |
a boolean to decide to calculate null distribution of the test statistics for the given graphs |
pvec |
an edge probability vector for ER random graphs for the null statistics |
Author(s)
Youngser Park <youngser@jhu.edu>
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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