To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("banocc")

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banocc

DOI: 10.18129/B9.bioc.banocc    

Bayesian ANalysis Of Compositional Covariance

Bioconductor version: Release (3.5)

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]

Maintainer: Emma Schwager <emh146 at mail.harvard.edu>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("banocc")

Documentation

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

Details

biocViews Bayesian, Metagenomics, Software
Version 1.0.0
In Bioconductor since BioC 3.5 (R-3.4) (< 6 months)
License MIT + file LICENSE
Depends R (>= 3.4), rstan (>= 2.10.1)
Imports coda (>= 0.18.1), mvtnorm, stringr
LinkingTo
Suggests knitr, rmarkdown, methods, testthat
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source banocc_1.0.0.tar.gz
Windows Binary banocc_1.0.0.zip
Mac OS X 10.11 (El Capitan) banocc_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/banocc
Package Short Url http://bioconductor.org/packages/banocc/
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