ash_cov_master: Adaptive shrinkage of correlation matrix from data
In kkdey/ashnet: Network Learning using adaptive shrinkage
Description
Usage
Arguments
Value
Description
This function performs adaptive shrinkage of sample correlation matrix obtained from data
Usage
1
Arguments
data
The samples by features data matrix
Value
The adaptive shrinkage correlation and covariance matrices, the shrink intensity and the Ledoit-Wolf adjusted adaptive shrunk versions of correlation and covraince matrices.
kkdey/ashnet documentation built on May 20, 2019, 10:33 a.m.
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Description Usage Arguments Value
Description
This function performs adaptive shrinkage of sample correlation matrix obtained from data
Usage
1 |
Arguments
data |
The samples by features data matrix |
Value
The adaptive shrinkage correlation and covariance matrices, the shrink intensity and the Ledoit-Wolf adjusted adaptive shrunk versions of correlation and covraince matrices.
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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