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MicrobiomeStat

Statistical Methods for Microbiome Compositional Data

v1.4 · Mar 3, 2026 · GPL-3

Description

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>).

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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Apr 22, 2026
ERROR 13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Apr 18, 2026
ERROR r-devel-windows-x86_64

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Installation failed.
See 'd:/Rcompile/CRANpkg/local/4.6/MicrobiomeStat.Rcheck/00install.out' for details.
OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Reverse Dependencies (1)

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Dependency Network

Dependencies Reverse dependencies ggplot2 matrixStats Matrix statmod MASS ggrepel lmerTest foreach modeest dplyr Rcpp mlr3 mlr3mbo bbotk paradox ggpicrust2 MicrobiomeStat

Version History

6 tracked
new 1.4 Mar 10, 2026
updated 1.4 ← 1.3 diff Mar 2, 2026
updated 1.3 ← 1.2 diff Jan 8, 2026
updated 1.2 ← 1.1 diff Apr 1, 2024
updated 1.1 ← 1.0 diff Jan 23, 2022
new 1.0 Nov 18, 2021