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. Includes the LinDA method for differential abundance analysis (Zhou et al. (2022)<doi:10.1186/s13059-022-02655-5>), the BMDD (Bimodal Dirichlet Distribution) method for accurate modeling and imputation of zero-inflated microbiome sequencing data (Zhou et al. (2025)<doi:10.1371/journal.pcbi.1013124>) and compositional sparse CCA methods for microbiome multi-omics data integration (Deng et al. (2024) <doi: 10.3389/fgene.2024.1489694>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.4 |
rolling source/ R- | MicrobiomeStat_1.4.tar.gz |
149.1 KiB |
1.4 |
rolling linux/jammy R-4.5 | MicrobiomeStat_1.4.tar.gz |
370.9 KiB |
1.4 |
rolling linux/noble R-4.5 | MicrobiomeStat_1.4.tar.gz |
372.5 KiB |
1.4 |
latest source/ R- | MicrobiomeStat_1.4.tar.gz |
149.1 KiB |
1.4 |
latest linux/jammy R-4.5 | MicrobiomeStat_1.4.tar.gz |
370.9 KiB |
1.4 |
latest linux/noble R-4.5 | MicrobiomeStat_1.4.tar.gz |
372.5 KiB |
1.4 |
2026-04-23 source/ R- | MicrobiomeStat_1.4.tar.gz |
149.1 KiB |
1.4 |
2026-04-09 windows/windows R-4.5 | MicrobiomeStat_1.4.zip |
694.1 KiB |
1.2 |
2025-04-20 source/ R- | MicrobiomeStat_1.2.tar.gz |
119.7 KiB |