K2C: Create a centered Kernel matrix
In baolinwu/MiRV: Kernel based independence test for microbiome association studies
Description
Usage
Arguments
Value
References
Description
Given a symmetric kernel matrix K, we calculate HKH, where H=I-11'/n is a centering/projection matrix.
Mathematically it is equivalent to subtract the row and column means, which is computationally more efficient.
Usage
1
K2C(K)
Arguments
K
kernel matrix
Value
row and column centered kernel matrix
References
Guo,B. and Wu,B. (2017) On the fast small-sample kernel independence test for microbiome community-level association analysis. Biometrics, doi:10.1111/biom.12823.
baolinwu/MiRV documentation built on May 28, 2019, 6:37 p.m.
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Description Usage Arguments Value References
Description
Given a symmetric kernel matrix K, we calculate HKH, where H=I-11'/n is a centering/projection matrix. Mathematically it is equivalent to subtract the row and column means, which is computationally more efficient.
Usage
1 | K2C(K)
|
Arguments
K |
kernel matrix |
Value
row and column centered kernel matrix
References
Guo,B. and Wu,B. (2017) On the fast small-sample kernel independence test for microbiome community-level association analysis. Biometrics, doi:10.1111/biom.12823.
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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