mvabund– an R package for model‐based analysis of multivariate abundance data

Summary 1. The mvabund package for R provides tools for model‐based analysis of multivariate abundance data in ecology. 2. This includes methods for visualising data, fitting predictive models, checking model assumptions, as well as testing hypotheses about the community–environment association. 3. ...

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Bibliographic Details
Published inMethods in ecology and evolution Vol. 3; no. 3; pp. 471 - 474
Main Authors Wang, Yi, Naumann, Ulrike, Wright, Stephen T., Warton, David I.
Format Journal Article
LanguageEnglish
Published Oxford, UK Blackwell Publishing Ltd 01.06.2012
John Wiley & Sons, Inc
Subjects
community composition
generalised linear model
graphical methods
negative binomial regression
permutation test
Prediction models
resampling methods
significance test
Studies
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Summary:Summary 1. The mvabund package for R provides tools for model‐based analysis of multivariate abundance data in ecology. 2. This includes methods for visualising data, fitting predictive models, checking model assumptions, as well as testing hypotheses about the community–environment association. 3. This paper briefly introduces the package and demonstrates its functionality by example.
Bibliography:Correspondence site
http://www.respond2articles.com/MEE/
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ISSN:2041-210X
2041-210X
DOI:10.1111/j.2041-210X.2012.00190.x