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mvabund (version 3.11.4)

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

3.11.4

License

LGPL (>= 2.1)

Maintainer

David Warton

Last Published

October 22nd, 2015

Functions in mvabund (3.11.4)

anova.manylm

ANOVA for Linear Model Fits for Multivariate Abundance Data
Tasmania

Tasmania Dataset
logLik.manylm

Calculate the Log Likelihood
mvabund

Multivariate Abundance Data Objects
glm1

Fits a Generalised Linear Models with a LASSO (or L1) penalty, given a value of the penalty parameter.
unabund

Remove the mvabund Class Attribute
summary.manylm

Summarizing Linear Model Fits for Multivariate Abundance Data
anova.traitglm

Testing for a environment-by-trait (fourth corner) interaction by analysis of deviance
plot.manylm

Plot Diagnostics for a manylm or a manyglm Object
best.r.sq

Use R^2 to find the variables that best explain a multivariate response.
extend.x.formula

Extend a Formula to all of it's Terms
solberg

Solberg Data
boxplot.mvabund

Boxplots for multivariate abundance Data
plotMvaFactor

Draw a Mvabund Object split into groups.
antTraits

Ant data, with species traits
cv.glm1path

Fits a path of Generalised Linear Models with LASSO (or L1) penalties, and finds the best model by corss-validation.
meanvar.plot

Construct Mean-Variance plots for Multivariate Abundance Data
predict.manylm

Model Predictions for Multivariate Linear Models
residuals.manyglm

Residuals for MANYGLM, MANYANY, GLM1PATH Fits
summary.manyglm

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

workhose functions for fitting multivariate linear models
predict.traitglm

Predictions from fourth corner model fits
manyany

Fitting Many Univariate Models to Multivariate Abundance Data
formulaUnimva

Create a List of Univariate Formulas
deviance.manylm

Model Deviance
mvabund-package

Statistical methods for analysing multivariate abundance data
shiftpoints

Calculate a shift for plotting overlapping points
anova.manyglm

Analysis of Deviance for Multivariate Generalized Linear Model Fits for Abundance Data
mvabund-internal

Internal mvabund Objects
traitglm

Fits a fourth corner model for abundance as a function of environmental variables and species traits.
tikus

Tikus Island Dataset
manyglm

Fitting Generalized Linear Models for Multivariate Abundance Data
plot.mvabund

Plot Multivariate Abundance Data and Formulae
spider

Spider data
mvformula

Model Formulae for Multivariate Abundance Data
ridgeParamEst

Estimation of the ridge parameter
glm1path

Fits a path of Generalised Linear Models with LASSO (or L1) penalties, and finds the model that minimises BIC.
predict.manyglm

Predict Method for MANYGLM Fits
manylm

Fitting Linear Models for Multivariate Abundance Data
anova.manyany

Analysis of Deviance for Many Univariate Models Fitted to Multivariate Abundance Data
plot.manyany

Plot Diagnostics for a manyany or glm1path Object