Microbiome Regression-Based Kernel Association Tests R package MiRKAT version 1.2.3 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 The package can also use robust regression (unpublished work) and integrated quantile regression (Wang et al.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. Software Depends: R (>= 3.1.0) Imports: MASS, CompQuadForm, quantreg, GUniFrac, PearsonDS, lme4, Matrix, permute, mixtools, survival, stats Suggests: knitr, vegan, rmarkdown, magrittr, kableExtra Anna Plantinga <amp9@williams.edu> Comprehensive R Archive Network (CRAN) 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] GPL (>= 2) 2023-02-17 application/tgz https://CRAN.R-project.org/package=MiRKAT doi:10.32614/CRAN.package.MiRKAT