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. (2021)<arXiv:2104.00242>). The methods can be applied to the analysis of other (high-dimensional) compositional data arising from sequencing experiments.
| Version: |
1.1 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
ggplot2, matrixStats, Matrix, parallel, stats, utils, statmod, MASS, ggrepel, lmerTest, foreach, modeest, phyloseq |
| Published: |
2022-01-24 |
| Author: |
Xianyang Zhang [aut],
Jun Chen [aut, cre],
Huijuan Zhou [ctb] |
| Maintainer: |
Jun Chen <chen.jun2 at mayo.edu> |
| License: |
GPL-3 |
| NeedsCompilation: |
yes |
| CRAN checks: |
MicrobiomeStat results |
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