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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 |
| 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 |
| Reference manual: | MicrobiomeStat.pdf |
| Package source: | MicrobiomeStat_1.2.tar.gz |
| Windows binaries: | r-devel: MicrobiomeStat_1.2.zip, r-release: MicrobiomeStat_1.2.zip, r-oldrel: MicrobiomeStat_1.2.zip |
| macOS binaries: | r-release (arm64): MicrobiomeStat_1.2.tgz, r-oldrel (arm64): MicrobiomeStat_1.2.tgz, r-release (x86_64): MicrobiomeStat_1.2.tgz, r-oldrel (x86_64): MicrobiomeStat_1.2.tgz |
| Old sources: | MicrobiomeStat archive |
| Reverse imports: | benchdamic, ggpicrust2 |
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