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There is an increasing interest in investigating how the compositions of microbial communities are associated with human health and disease. In this package, we present a novel global testing method called aMiSPU, that is highly adaptive and thus high powered across various scenarios, alleviating the issue with the choice of a phylogenetic distance. Our simulations and real data analysis demonstrated that aMiSPU test was often more powerful than several competing methods while correctly controlling type I error rates.
Package details |
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Author | Chong Wu, Wei Pan |
Maintainer | Chong Wu <wuxx0845@umn.edu> |
License | GPL-2 |
Version | 1.0 |
Package repository | View on CRAN |
Installation |
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