Test for overall association between microbiome composition data with a continuous or dichotomous outcome via phylogenetic kernels. The phenotype can be univariate continuous or binary phenotypes (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>). For all these effect, the microbiome community effect was modeled nonparametrically through a kernel function, which can incorporate the phylogenetic tree information.
| Version: | 1.0 |
| Depends: | R (≥ 2.13.0), survival, PearsonDS, GUniFrac, MASS |
| Published: | 2017-07-25 |
| Author: | Haotian Zheng [aut], Xiang Zhan [aut], Anna Plantinga [aut], Michael Wu [aut], Ni Zhao [aut, cre] |
| Maintainer: | Ni Zhao <nzhao10 at jhu.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | MiRKAT results |
| Reference manual: | MiRKAT.pdf |
| Vignettes: |
MiRKAT |
| Package source: | MiRKAT_1.0.tar.gz |
| Windows binaries: | r-devel: MiRKAT_1.0.zip, r-release: MiRKAT_1.0.zip, r-oldrel: MiRKAT_1.0.zip |
| OS X El Capitan binaries: | r-release: MiRKAT_1.0.tgz |
| OS X Mavericks binaries: | r-oldrel: MiRKAT_1.0.tgz |
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