Learn R Programming

⚠️There's a newer version (4.2.8) of this package.Take me there.

mvabund (version 3.11.5)

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.

Copy Link

Version

Install

install.packages('mvabund')

Monthly Downloads

1,713

Version

3.11.5

License

LGPL (>= 2.1)

Maintainer

David Warton

Last Published

November 24th, 2015

Functions in mvabund (3.11.5)

shiftpoints

Calculate a shift for plotting overlapping points
best.r.sq

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

Tasmania Dataset
anova.manyany

Analysis of Deviance for Many Univariate Models Fitted to Multivariate Abundance Data
glm1path

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

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

Model Deviance
mvabund

Multivariate Abundance Data Objects
mvabund-package

Statistical methods for analysing multivariate abundance data
antTraits

Ant data, with species traits
boxplot.mvabund

Boxplots for multivariate abundance Data
predict.traitglm

Predictions from fourth corner model fits
plot.manylm

Plot Diagnostics for a manylm or a manyglm Object
manylm.fit

workhose functions for fitting multivariate linear models
glm1

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

ANOVA for Linear Model Fits for Multivariate Abundance Data
plotMvaFactor

Draw a Mvabund Object split into groups.
unabund

Remove the mvabund Class Attribute
plot.manyany

Plot Diagnostics for a manyany or glm1path Object
predict.manyglm

Predict Method for MANYGLM Fits
spider

Spider data
ridgeParamEst

Estimation of the ridge parameter
predict.manylm

Model Predictions for Multivariate Linear Models
manyglm

Fitting Generalized Linear Models for Multivariate Abundance Data
anova.manyglm

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

Internal mvabund Objects
formulaUnimva

Create a List of Univariate Formulas
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
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
logLik.manylm

Calculate the Log Likelihood
manylm

Fitting Linear Models for Multivariate Abundance Data
mvformula

Model Formulae for Multivariate Abundance Data
solberg

Solberg Data
summary.manyglm

Summarizing Multivariate Generalized Linear Model Fits for Abundance Data
residuals.manyglm

Residuals for MANYGLM, MANYANY, GLM1PATH Fits
tikus

Tikus Island Dataset
manyany

Fitting Many Univariate Models to Multivariate Abundance Data
plot.mvabund

Plot Multivariate Abundance Data and Formulae
traitglm

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