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mvabund

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Statistical Methods for Analysing Multivariate Abundance Data

Authors

Yi Wang, Ulrike Naumann, Stephen Wright, Dirk Eddelbuettel and David Warton

License

LGPL (>= 2.1)

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Version

Install

install.packages('mvabund')

Monthly Downloads

1,379

Version

4.1.3

License

LGPL (>= 2.1)

Maintainer

David Warton

Last Published

February 27th, 2020

Functions in mvabund (4.1.3)

anova.manylm

ANOVA for Linear Model Fits for Multivariate Abundance Data
Tasmania

Tasmania Dataset
anova.manyglm

Analysis of Deviance for Multivariate Generalized Linear Model Fits for Abundance Data
anova.manyany

Analysis of Deviance for Many Univariate Models Fitted to Multivariate Abundance Data
boxplot.mvabund

Boxplots for multivariate abundance Data
anova.traitglm

Testing for a environment-by-trait (fourth corner) interaction by analysis of deviance
best.r.sq

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

Plots the coefficients of the covariates of a manyglm object with confidence intervals.
extend.x.formula

Extend a Formula to all of it's Terms
manyany

Fitting Many Univariate Models to Multivariate Abundance Data
deviance.manylm

Model Deviance
glm1path

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

Draw a Mvabund Object split into groups.
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.
manylm

Fitting Linear Models for Multivariate Abundance Data
formulaUnimva

Create a List of Univariate Formulas
logLik.manylm

Calculate the Log Likelihood
meanvar.plot

Construct Mean-Variance plots for Multivariate Abundance Data
mvformula

Model Formulae for Multivariate Abundance Data
manyglm

Fitting Generalized Linear Models for Multivariate Abundance Data
predict.manyglm

Predict Method for MANYGLM Fits
mvabund-package

Statistical methods for analysing multivariate abundance data
mvabund-internal

Internal mvabund Objects
shiftpoints

Calculate a shift for plotting overlapping points
solberg

Solberg Data
spider

Spider data
plot.mvabund

Plot Multivariate Abundance Data and Formulae
tikus

Tikus Island Dataset
mvabund

Multivariate Abundance Data Objects
plot.manylm

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

Summarizing Linear Model Fits for Multivariate Abundance Data
summary.manyglm

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

Model Predictions for Multivariate Linear Models
plot.manyany

Plot Diagnostics for a manyany or glm1path Object
residuals.manyglm

Residuals for MANYGLM, MANYANY, GLM1PATH Fits
ridgeParamEst

Estimation of the ridge parameter
traitglm

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

Remove the mvabund Class Attribute
predict.traitglm

Predictions from fourth corner model fits