To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("banocc")
In most cases, you don't need to download the package archive at all.
banocc
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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) |
| Reference Manual | ||
| Text | LICENSE |
Details
| biocViews | Bayesian, Metagenomics, Software |
| Version | 1.0.0 |
| In Bioconductor since | BioC 3.5 (R-3.4) (0.5 years) |
| 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.
| Source Package | 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/ |
| Package Downloads Report | Download Stats |
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