banocc
Bayesian ANalysis Of Compositional Covariance
Bioconductor version: Release (3.20)
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("banocc")
):
Installation
To install this package, start R (version "4.4") 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")
BAnOCC (Bayesian Analysis of Compositional Covariance) | HTML | R Script |
Reference Manual | ||
LICENSE | Text |
Details
biocViews | Bayesian, ImmunoOncology, Metagenomics, Software |
Version | 1.30.0 |
In Bioconductor since | BioC 3.5 (R-3.4) (7.5 years) |
License | MIT + file LICENSE |
Depends | R (>= 3.5.1), rstan (>= 2.17.4) |
Imports | coda (>= 0.18.1), mvtnorm, stringr |
System Requirements | |
URL |
See More
Suggests | knitr, rmarkdown, methods, testthat, BiocStyle |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | banocc_1.30.0.tar.gz |
Windows Binary (x86_64) | banocc_1.30.0.zip |
macOS Binary (x86_64) | banocc_1.30.0.tgz |
macOS Binary (arm64) | banocc_1.30.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/banocc |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/banocc |
Bioc Package Browser | https://code.bioconductor.org/browse/banocc/ |
Package Short Url | https://bioconductor.org/packages/banocc/ |
Package Downloads Report | Download Stats |