MicrobiomeStat: Statistical Methods for Microbiome Compositional Data
A suite of methods for powerful and robust microbiome data analysis addressing zero-inflation, phylogenetic structure and compositional effects (Zhou et al. (2022)<doi:10.1186/s13059-022-02655-5>). The methods can be applied to the analysis of other (high-dimensional) compositional data arising from sequencing experiments.
| Version: | 1.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | ggplot2,matrixStats, parallel, stats, utils,Matrix,statmod,MASS,ggrepel,lmerTest,foreach,modeest |
| Published: | 2024-04-01 |
| DOI: | 10.32614/CRAN.package.MicrobiomeStat |
| Author: | Xianyang Zhang [aut], Jun Chen [aut, cre], Huijuan Zhou [ctb] |
| Maintainer: | Jun Chen <chen.jun2 at mayo.edu> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| In views: | CompositionalData |
| CRAN checks: | MicrobiomeStat results |
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