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mvabund: Statistical Methods for Analysing Multivariate Abundance Data

A set of tools for displaying, modeling and analysing multivariate abundance data in community ecology. See 'mvabund-package.Rd' for details of overall package organization. The package is implemented with the Gnu Scientific Library (<http://www.gnu.org/software/gsl/>) and 'Rcpp' (<http://dirk.eddelbuettel.com/code/rcpp.html>) 'R' / 'C++' classes.

Version: 4.2.1
Depends: R (≥ 3.5.0)
Imports: Rcpp, MASS, methods, stats, tweedie, statmod, parallel
LinkingTo: Rcpp, RcppGSL
Suggests: testthat
Published: 2022-02-16
Author: Yi Wang [aut], Ulrike Naumann [aut], Dirk Eddelbuettel [aut], John Wilshire [aut], David Warton [aut, cre], Julian Byrnes [ctb], Ralph dos Santos Silva [ctb, cph], Jenni Niku [ctb], Ian Renner [ctb], Stephen Wright [ctb]
Maintainer: David Warton <David.Warton at unsw.edu.au>
License: LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2.1)]
NeedsCompilation: yes
Materials: README
In views: Environmetrics
CRAN checks: mvabund results

Documentation:

Reference manual: mvabund.pdf

Downloads:

Package source: mvabund_4.2.1.tar.gz
Windows binaries: r-devel: mvabund_4.2.1.zip, r-release: mvabund_4.2.1.zip, r-oldrel: mvabund_4.2.1.zip
macOS binaries: r-release (arm64): mvabund_4.2.1.tgz, r-oldrel (arm64): mvabund_4.2.1.tgz, r-release (x86_64): mvabund_4.2.1.tgz, r-oldrel (x86_64): mvabund_4.2.1.tgz
Old sources: mvabund archive

Reverse dependencies:

Reverse depends: ecoCopula, ecostats, gllvm
Reverse imports: ecopower, mglmn, optimus
Reverse suggests: boral, glmmTMB

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mvabund to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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