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 <[email protected]>,Craig Bielski<[email protected]>, George Weingart<[email protected]>|
|Bioconductor views||Bioinformatics Metagenomics Software Statistics|
|Maintainer||Emma Schwager <[email protected]>,Craig Bielski<[email protected]>, George Weingart<[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on Bioconductor|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.