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mvabund  

Statistical Methods for Analysing Multivariate Abundance Data
View on CRAN: Click here


Download and install mvabund package within the R console
Install from CRAN:
install.packages("mvabund")

Install from Github:
library("remotes")
install_github("cran/mvabund")

Install by package version:
library("remotes")
install_version("mvabund", "4.2.8")



Attach the package and use:
library("mvabund")
Maintained by
David Warton
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-01-14
Latest Update: 2022-02-16
Description:
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 () and 'Rcpp' () 'R' / 'C++' classes.
How to cite:
David Warton (2010). mvabund: Statistical Methods for Analysing Multivariate Abundance Data. R package version 4.2.8, https://cran.r-project.org/web/packages/mvabund. Accessed 11 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:33), 0.1-6 (2010-01-14 13:00), 0.1-7 (2010-01-20 09:00), 0.1-8 (2010-04-20 08:41), 0.1-9 (2010-04-22 08:21), 0.1-10 (2010-06-25 14:03), 0.1-11.1 (2011-04-24 08:57), 0.1-11 (2010-11-20 15:19), 2.2-4 (2011-06-30 19:02), 2.2-5.3 (2011-07-06 20:56), 2.2-5.6 (2011-07-23 15:58), 2.3-1.1 (2012-01-09 06:58), 2.3-3 (2012-03-24 10:36), 2.3-4.1 (2012-08-21 07:26), 2.3 (2011-08-19 13:16), 3.1 (2012-08-22 14:07), 3.6.3 (2012-11-28 08:22), 3.6.11 (2013-01-28 09:04), 3.7.0 (2013-04-11 16:20), 3.8.0 (2013-09-25 08:08), 3.8.2 (2013-10-31 09:19), 3.8.3 (2013-11-08 11:04), 3.8.4 (2013-12-09 08:25), 3.9.1 (2014-06-28 09:07), 3.9.3 (2014-11-03 00:39), 3.10.4 (2015-05-12 15:27), 3.11.4 (2015-10-22 08:24), 3.11.5 (2015-11-24 07:46), 3.11.7 (2016-03-31 17:39), 3.11.9 (2016-04-29 12:11), 3.12.3 (2017-04-28 01:27), 3.12 (2017-01-25 09:03), 3.13.1 (2018-01-19 14:09), 4.0.1 (2019-01-07 18:00), 4.1.3 (2020-02-27 12:20), 4.1.6 (2020-12-18 14:00), 4.1.9 (2021-05-24 08:45), 4.1.12 (2021-05-28 10:50), 4.2.1 (2022-02-16 14:40)
Other packages that cited mvabund R package
View mvabund citation profile
Other R packages that mvabund depends, imports, suggests or enhances
Complete documentation for mvabund
Functions, R codes and Examples using the mvabund R package
Some associated functions: Tasmania . anova.manyany . anova.manyglm . anova.manylm . anova.traitglm . antTraits . best.r.sq . boxplot.mvabund . coefplot.manyglm . cv.glm1path . deviance.manylm . extend.x.formula . formulaUnimva . glm1 . glm1path . logLik.manylm . manyany . manyglm . manylm.fit . manylm . meanvar.plot . mvabund-internal . mvabund-package . mvabund . mvformula . plot.manyany . plot.manylm . plot.mvabund . plotMvaFactor . predict.manyglm . predict.manylm . predict.traitglm . residuals.manyglm . ridgeParamEst . shiftpoints . solberg . spider . summary.manyglm . summary.manylm . tikus . traitglm . unabund . 
Some associated R codes: AllClass.R . RcppExports.R . RcppVersion.R . RidgeParamEst.R . absspp.R . anova.manyany.R . anova.manyglm.R . anova.manylm.R . anova.traitglm.R . as.data.frame.mvabund.R . as.matrix.mvabund.R . best.r.sq.R . betaest.R . binstruc.R . block.to.bootID.R . boxplot.mvabund.R . boxplot.mvformula.R . case.names.manylm.R . cbind.mvabund.R . coefplot.manyglm.R . cooks.distance.manylm.R . covratio.manylm.R . cv.glm1path.R . default.boxplot.mvabund.R . default.boxplot.mvformula.R . default.meanvar.plot.R . default.plot.manyglm.R . default.plot.manylm.R . default.plot.mvabund.R . default.plot.mvformula.R . default.plotMvaFactor.R . default.print.anova.manyglm.R . default.print.summary.manyglm.R . deviance.manylm.R . dfbeta.manylm.R . dfbetas.manylm.R . dffits.manylm.R . effic.make.link.R . extend.x.formula.R . extract.mvabund.R . extractAIC.manyglm.R . formulaUnimva.R . get_polys.R . glm1.R . glm1path.R . hatvalues.manylm.R . influence.manylm.R . is.wholenumber.R . logLik.manyglm.R . logLik.manylm.R . make.vslink.R . manyany.R . manyglm.R . manylm.R . manylm.influence.R . manylm.influence.measures.R . manylm.multiwfit.R . meanvar.plot.R . mvabundject.R . mvformula.R . nobs.manyglm.R . plot.manyglm.R . plot.manylm.R . plot.mvabund.R . plot.mvformula.R . plotFormulafeature.R . plotMvaFactor.R . predict.manyglm.R . predict.manylm.R . predict.traitglm.R . print.anova.manyglm.R . print.anova.manylm.R . print.infl.mvabund.R . print.manyglm.R . print.mvformula.R . print.summary.manyglm.R . print.summary.manylm.R . quasibinomialMany.R . quasiloglik.R . quasipoisson.R . rbind.mvabund.R . rcalc.R . residuals.glm1path.R . residuals.manyglm.R . rstandard.manylm.R . rstudent.manylm.R . shiftpoints.R . summary.manyglm.R . summary.manylm.R . traitglm.R . transAxis.SW.R . unabund.R . variable.names.manyglm.R . weighted.residuals.manylm.R . weights.manyglm.R .  Full mvabund package functions and examples
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