banocc

DOI: 10.18129/B9.bioc.banocc    

This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see banocc.

Bayesian ANalysis Of Compositional Covariance

Bioconductor version: 3.13

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>

Installation

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

if (!requireNamespace("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	1.16.0
In Bioconductor since	BioC 3.5 (R-3.4) (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_1.16.0.tar.gz
Windows Binary
macOS 10.13 (High Sierra)	banocc_1.16.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/banocc
Source Repository (Developer Access)	git clone [email protected]:packages/banocc
Package Short Url	https://bioconductor.org/packages/banocc/
Package Downloads Report	Download Stats