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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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CRAN Check Status

14 OK
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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

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

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