This is the development version of ccrepe; for the stable release version, see ccrepe.
ccrepe_and_nc.scoreBioconductor version: Development (3.22)
The CCREPE (Compositionality Corrected by REnormalizaion and PErmutation) package is designed to assess the significance of general similarity measures in compositional datasets. In microbial abundance data, for example, the total abundances of all microbes sum to one; CCREPE is designed to take this constraint into account when assigning p-values to similarity measures between the microbes. The package has two functions: ccrepe: Calculates similarity measures, p-values and q-values for relative abundances of bugs in one or two body sites using bootstrap and permutation matrices of the data. nc.score: Calculates species-level co-variation and co-exclusion patterns based on an extension of the checkerboard score to ordinal data.
Author: Emma Schwager <emh146 at mail.harvard.edu>,Craig Bielski<craig.bielski at gmail.com>, George Weingart<george.weingart at gmail.com>
Maintainer: Emma Schwager <emma.schwager at gmail.com>,Craig Bielski<craig.bielski at gmail.com>, George Weingart<george.weingart at gmail.com>
Citation (from within R, entercitation("ccrepe")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("ccrepe")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ccrepe")Follow Installation instructions to use this package in your R session.
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