MiRKAT: Microbiome Regression-Based Kernel Association Tests

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 The package can also use robust regression (unpublished work) and integrated quantile regression (Wang et al.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

AuthorAnna 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]
MaintainerAnna Plantinga <amp9@williams.edu>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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MiRKAT documentation built on March 7, 2023, 5:55 p.m.