Understanding the drivers of microbial diversity is an important frontier of microbial ecology, and investigating the diversity of samples from microbial ecosystems is a common step in any microbiome analysis.
breakaway
is the premier package for statistical analysis of microbial
diversity. breakaway
implements the latest and greatest estimates of
richness, as well as the most commonly used estimates.
DivNet
is a package by the
breakaway
authors for estimating Shannon diversity, and other
diversity indices. breakaway
focuses on richness while DivNet
focuses on Shannon, Simpson, and other alpha diversities as well as some
beta diversity indices. Check it out!
The R
package breakaway
implements a number of different richness
estimates. Please cite the following if you use them:
breakaway()
and kemp()
: Willis, A. & Bunge, J. (2015).
Estimating diversity via frequency ratios. Biometrics.betta()
: Willis, A., Bunge, J., & Whitman, T. (2017). Improved
detection of changes in species richness in high diversity microbial
communities. JRSS-C.breakaway_nof1()
: Willis, A. (2016+). Species richness estimation
with high diversity but spurious singletons. arXiv.objective_bayes_*()
: Barger, K. & Bunge, J. (2010). Objective
Bayesian estimation for the number of species. Bayesian Analysis.You can install breakaway
from github by running:
install.packages("devtools")
devtools::install_github("adw96/breakaway")
breakaway
is actively maintained and continually expanding and
developing its scope! Is there a method you would like to have
implemented in breakaway? Submit a pull request or contact the
maintainer!
Maintainer: Amy Willis
Authors: Amy Willis, John Bunge, Bryan Martin, Pauline Trinh, Kathryn Barger, David Clausen and Sarah Teichman.
Do you have a request for us? Let us know! We want folks to use
breakaway
and are committed to making it as easy to use as possible.
Do you have a question? Check out the above documentation list, then shoot us an email or open a Discussion. We receive a lot of emails from users, so we try to answer questions on the Wiki rather than responding to everyone individually.