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mvabund (version 3.8.2)

statistical methods for analysing multivariate abundance data

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 (http://www.gnu.org/software/gsl/) and Rcpp (http://dirk.eddelbuettel.com/code/rcpp.html) R / C++ classes.

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Version

Install

install.packages('mvabund')

Monthly Downloads

1,713

Version

3.8.2

License

LGPL (>= 2.1)

Maintainer

Yi Wang

Last Published

October 31st, 2013

Functions in mvabund (3.8.2)

predict.manyglm

Predict Method for MANYGLM Fits
predict.manylm

Model Predictions for Multivariate Linear Models
boxplot.mvabund

Boxplots for multivariate abundance Data
ridgeParamEst

Estimation of the ridge parameter
plotMvaFactor

Draw a Mvabund Object split into groups.
shiftpoints

Calculate a shift for plotting overlapping points
solberg

Solberg Data
Tasmania

Tasmania Dataset
extend.x.formula

Extend a Formula to all of it's Terms
anova.manylm

ANOVA for Linear Model Fits for Multivariate Abundance Data
deviance.manylm

Model Deviance
mvabund-internal

Internal mvabund Objects
anova.manyglm

Analysis of Deviance for Multivariate Generalized Linear Model Fits for Abundance Data
plot.manylm

Plot Diagnostics for a manylm or a manyglm Object
manylm

Fitting Linear Models for Multivariate Abundance Data
formulaUnimva

Create a List of Univariate Formulas
logLik.manylm

Calculate the Log Likelihood
mvabund

Multivariate Abundance Data Objects
mvabund-package

Statistical methods for analysing multivariate abundance data
best.r.sq

Use R^2 to find the variables that best explain a multivariate response.
plot.mvabund

Plot Multivariate Abundance Data and Formulae
spider

Spider data
meanvar.plot

Construct Mean-Variance plots for Multivariate Abundance Data
residuals.manyglm

Residuals for MANYGLM Fits
manyglm

Fitting Generalized Linear Models for Multivariate Abundance Data
summary.manyglm

Summarizing Multivariate Generalized Linear Model Fits for Abundance Data
summary.manylm

Summarizing Linear Model Fits for Multivariate Abundance Data
mvformula

Model Formulae for Multivariate Abundance Data
tikus

Tikus Island Dataset
manylm.fit

workhose functions for fitting multivariate linear models
unabund

Remove the mvabund Class Attribute