banocc

DOI: 10.18129/B9.bioc.banocc    

Bayesian ANalysis Of Compositional Covariance

Bioconductor version: Release (3.14)

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 gmail.com>, Curtis Huttenhower <chuttenh at hsph.harvard.edu>

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

Installation

To install this package, start R (version "4.1") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("banocc")

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

Documentation

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

browseVignettes("banocc")

 

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

Details

biocViews Bayesian, ImmunoOncology, Metagenomics, Software
Version 1.18.0
In Bioconductor since BioC 3.5 (R-3.4) (5 years)
License MIT + file LICENSE
Depends R (>= 3.5.1), rstan (>= 2.17.4)
Imports coda (>= 0.18.1), mvtnorm, stringr
LinkingTo
Suggests knitr, rmarkdown, methods, testthat
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package banocc_1.18.0.tar.gz
Windows Binary
macOS 10.13 (High Sierra) banocc_1.18.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/banocc
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/banocc
Package Short Url https://bioconductor.org/packages/banocc/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.14 Source Archive

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: