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mvabund (version 2.2-5.6)

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

5,851

Version

2.2-5.6

License

LGPL (>= 2.1)

Maintainer

Yi Wang

Last Published

July 23rd, 2011

Functions in mvabund (2.2-5.6)

anova.manylm

ANOVA for Linear Model Fits for Multivariate Abundance Data
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.
manylm

Fitting Linear Models for Multivariate Abundance Data
plot.manylm

Plot Diagnostics for a manylm or a manyglm Object
spider

Spider data
anova.manyglm

Analysis of Deviance for Multivariate Generalized Linear Model Fits for Abundance Data
solberg

Solberg Data
extend.x.formula

Extend a Formula to all of it's Terms
unabund

Remove the mvabund Class Attribute
predict.manylm

Model Predictions for Multivariate Linear Models
manyglm

Fitting Generalized Linear Models for Multivariate Abundance Data
deviance.manylm

Model Deviance
plotMvaFactor

Draw a Mvabund Object split into groups.
meanvar.plot

Construct Mean-Variance plots for Multivariate Abundance Data
shiftpoints

Calculate a shift for plotting overlapping points
formulaUnimva

Create a List of Univariate Formulas
mvformula

Model Formulae for Multivariate Abundance Data
boxplot.mvabund

Boxplots for multivariate abundance Data
logLik.manylm

Calculate the Log Likelihood
tikus

Tikus Island Dataset
plot.mvabund

Plot Multivariate Abundance Data and Formulae
mvabund-internal

Internal mvabund Objects
Tasmania

Tasmania Dataset
mvabund

Multivariate Abundance Data Objects
manylm.fit

workhose functions for fitting multivariate linear models
predict.manyglm

Predict Method for MANYGLM Fits
ridgeParamEst

Estimation of the ridge parameter
summary.manyglm

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

Summarizing Linear Model Fits for Multivariate Abundance Data