banocc
Bayesian ANalysis Of Compositional Covariance
Bioconductor version: 3.23 · Package version: 1.36.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("banocc")Details
| Maintainer | George Weingart <george.weingart@gmail.com>, Curtis Huttenhower <chuttenh@hsph.harvard.edu> |
| Author | Emma Schwager [aut, cre], Curtis Huttenhower [aut] |
| License | MIT + file LICENSE |
| Downloads rank | 337 |
| Source branch | RELEASE_3_23 |
| biocViews | Bayesian, ImmunoOncology, Metagenomics, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | banocc_1.36.0.tar.gz |
| macOS binary (arm64) | banocc_1.36.0.tgz |
| macOS binary (x86_64) | banocc_1.36.0.tgz |