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Bayesian ANalysis Of Compositional Covariance

Bioconductor version: Release (3.19)

BAnOCC is a package designed for compositional data, where each sample sums to one. It infers the approximate covariance of the unconstrained data using a Bayesian model coded with `rstan`. It provides as output the `stanfit` object as well as posterior median and credible interval estimates for each correlation element.

Author: Emma Schwager [aut, cre], Curtis Huttenhower [aut]

Maintainer: George Weingart <george.weingart at>, Curtis Huttenhower <chuttenh at>

Citation (from within R, enter citation("banocc")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

BAnOCC (Bayesian Analysis of Compositional Covariance) HTML R Script
Reference Manual PDF


biocViews Bayesian, ImmunoOncology, Metagenomics, Software
Version 1.28.0
In Bioconductor since BioC 3.5 (R-3.4) (7 years)
License MIT + file LICENSE
Depends R (>= 3.5.1), rstan (>= 2.17.4)
Imports coda (>= 0.18.1), mvtnorm, stringr
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Suggests knitr, rmarkdown, methods, testthat, BiocStyle
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Follow Installation instructions to use this package in your R session.

Source Package banocc_1.28.0.tar.gz
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macOS Binary (x86_64) banocc_1.28.0.tgz
macOS Binary (arm64) banocc_1.28.0.tgz
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