RVparam: Calculate the first four permutation moments: mean, variance,...
In baolinwu/MiRV: Kernel based independence test for microbiome association studies
Description
Usage
Arguments
Value
References
Description
Calculate the first four permutation moments: mean, variance, skewness and kurtosis for RV statistic
Usage
1
RVparam(KX, KY)
Arguments
KX
the first kernel matrix
KY
the second kernel matrix
Value
a vector of mean, standard error, skewness, and kurtosis
References
Kazi-Aoual, F., Hitier, S., Sabatier, R., Lebreton, J.-D. (1995). Refined Approximations to Permutation Tests for Multivariate Inference. Comput. Stat. Data Anal. 20, 643<e2><80><93>656.
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
Calculate the first four permutation moments: mean, variance, skewness and kurtosis for RV statistic
Usage
1 | RVparam(KX, KY)
|
Arguments
KX |
the first kernel matrix |
KY |
the second kernel matrix |
Value
a vector of mean, standard error, skewness, and kurtosis
References
Kazi-Aoual, F., Hitier, S., Sabatier, R., Lebreton, J.-D. (1995). Refined Approximations to Permutation Tests for Multivariate Inference. Comput. Stat. Data Anal. 20, 643<e2><80><93>656.
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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