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
Old sources: mvabund archive

Reverse dependencies:

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

Linking:

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