KRVtest: Revised implementation of KRV test for independence between...

In baolinwu/MiRV: Kernel based independence test for microbiome association studies

Description

Revised implementation of KRV test for independence between paired data

Usage

KRVtest(KX, KY, kernel = FALSE)

Arguments

KX	distance matrix or the computed kernel matrix for a set of outcomes
KY	distance matrix or the computed kernel matrix for another set of outcomes
kernel	indicator of whether the input is kernel matrix computed using D2Ks() and K2C().

Value

test statistic and its p-value

References

Minas, C., Curry, E., Montana, G., 2013. A distance-based test of association between paired heterogeneous genomic data. Bioinformatics 29, 2555<e2><80><93>2563.

Zhan, X., Plantinga, A., Zhao, N., Wu, M.C. (2017). A fast small-sample kernel independence test for microbiome community-level association analysis. Biometrics, doi:10.1111/biom.12684.

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.