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mvabund– an R package for model‐based analysis of multivariate abundance data
Abstract
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.
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Bootstrap Methods and their Application
Davison, A. C., & Hinkley, D. V. (1997) · doi:10.1017/cbo9780511802843 · Cited by 7,350
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Metadata
- Authors
- Wang, Y., Naumann, U., Wright, S. T., & Warton, D. I.
- Venue
- Methods in Ecology and Evolution
- Publisher
- Wiley
- Published
- 2012-02-21
- Volume
- 3
- Issue
- 3
- Pages
- 471-474
- ISSN
- 2041-210X (ISSN-L)
- OpenAlex
- W1590050327
- Cited by
- 1,577
- References
- 1
- FWCI
- 34.29
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Wang, Y., Naumann, U., Wright, S. T., & Warton, D. I. (2012). mvabund– an R package for model‐based analysis of multivariate abundance data. Methods in Ecology and Evolution. https://doi.org/10.1111/j.2041-210x.2012.00190.x
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
