LocalCov: An auxiliary function that computes all local correlations...
In mgc: Multiscale Graph Correlation
Description
Usage
Arguments
Value
Description
An auxiliary function that computes all local correlations simultaneously in O(n^2).
Usage
1
LocalCov(A, B, RX, RY)
Arguments
A
is a properly transformed distance matrix
B
is the second distance matrix properly transformed
RX
is the column-ranking matrix of A
RY
is the column-ranking matrix of B.
Value
covXY is all local covariances computed iteratively.
mgc documentation built on July 1, 2020, 7:09 p.m.
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Description Usage Arguments Value
Description
An auxiliary function that computes all local correlations simultaneously in O(n^2).
Usage
1 | LocalCov(A, B, RX, RY)
|
Arguments
A |
is a properly transformed distance matrix |
B |
is the second distance matrix properly transformed |
RX |
is the column-ranking matrix of A |
RY |
is the column-ranking matrix of B. |
Value
covXY is all local covariances computed iteratively.
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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