MicrobiomeStat

Statistical Methods for Microbiome Compositional Data

CRAN Package

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).

  • Version1.3
  • R versionR (≥ 3.5.0)
  • LicenseGPL-3
  • Needs compilation?Yes
  • Last releaselast Friday at 12:00 AM

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