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

Authors

  • Yi Wang,

    1. School of Mathematics and Statistics, The University of New South Wales, Sydney, NSW 2052, Australia
    2. School of Computer Science and Engineering, The University of New South Wales, Sydney, NSW 2052, Australia
    Search for more papers by this author
  • Ulrike Naumann,

    1. School of Mathematics and Statistics, The University of New South Wales, Sydney, NSW 2052, Australia
    Search for more papers by this author
  • Stephen T. Wright,

    1. School of Mathematics and Statistics, The University of New South Wales, Sydney, NSW 2052, Australia
    Search for more papers by this author
  • David I. Warton

    Corresponding author
    1. School of Mathematics and Statistics, The University of New South Wales, Sydney, NSW 2052, Australia
    2. Evolution & Ecology Research Centre, The University of New South Wales, Sydney, NSW 2052, Australia
    Search for more papers by this author

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.

Ancillary