corrCovariance: Correlated Block Covariance Matrix
In whitneyworley/HighDim2Means: Test Difference of 2 Mean Vectors in High Dimension
View source: R/corrCovariance.R
Description
Creates a covariance structure with a block diagonal.
Usage
1
corrCovariance(p, inblock, outblock, numBlocks)
Arguments
p
Number of dimensions.
inblock
Covariance value inside of block.
outblock
Covariance value outside of block.
numBlocks
Total number of blocks. Defaults to p/25.
whitneyworley/HighDim2Means documentation built on Oct. 17, 2019, 9:40 p.m.
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View source: R/corrCovariance.R
Description
Creates a covariance structure with a block diagonal.
Usage
1 | corrCovariance(p, inblock, outblock, numBlocks)
|
Arguments
p |
Number of dimensions. |
inblock |
Covariance value inside of block. |
outblock |
Covariance value outside of block. |
numBlocks |
Total number of blocks. Defaults to p/25. |
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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