Description Usage Arguments Value References
Broadly applicable to test association between two sets of outcomes. We slightly modify the codes to remove the dependence on PearsonDS library: simply use the builtin pgamma() function to compute p-value.
1 | KRVz(K, L)
|
K |
kernel matrix for a set of outcomes (no need to be centered) |
L |
kernel matrix for another set of outcomes |
KRV p-value
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.
Original R codes: http://onlinelibrary.wiley.com/wol1/doi/10.1111/biom.12684/suppinfo
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.
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