Test for overall association between microbiome composition data and phenotypes via phylogenetic kernels. The phenotype can be univariate continuous or binary (Zhao et al. (2015) <doi:10.1016/j.ajhg.2015.04.003>), survival outcomes (Plantinga et al. (2017) <doi:10.1186/s40168-017-0239-9>), multivariate (Zhan et al. (2017) <doi:10.1002/gepi.22030>) and structured phenotypes (Zhan et al. (2017) <doi:10.1111/biom.12684>). The package can also use robust regression (unpublished work) and integrated quantile regression (Wang et al. (2021) <doi:10.1093/bioinformatics/btab668>). In each case, the microbiome community effect is modeled nonparametrically through a kernel function, which can incorporate phylogenetic tree information.
Package details |
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Author | Anna Plantinga [aut, cre], Nehemiah Wilson [aut, ctb], Haotian Zheng [aut, ctb], Tianying Wang [aut, ctb], Xiang Zhan [aut, ctb], Michael Wu [aut], Ni Zhao [aut, ctb], Jun Chen [aut] |
Maintainer | Anna Plantinga <amp9@williams.edu> |
License | GPL (>= 2) |
Version | 1.2.3 |
Package repository | View on CRAN |
Installation |
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