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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)

Installation

mvabund is available on CRAN.

This is the development version, with the latest bells and whistles. It can be installed from GitHub using the devtools package:

devtools::install_github('aliceyiwang/mvabund')
library(mvabund)

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Version

Install

install.packages('mvabund')

Monthly Downloads

1,379

Version

4.1.6

License

LGPL (>= 2.1)

Maintainer

David Warton

Last Published

December 18th, 2020

Functions in mvabund (4.1.6)

anova.manyany

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

Boxplots for multivariate abundance Data
anova.manyglm

Analysis of Deviance for Multivariate Generalized Linear Model Fits for Abundance Data
best.r.sq

Use R^2 to find the variables that best explain a multivariate response.
cv.glm1path

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

Ant data, with species traits
Tasmania

Tasmania Dataset
coefplot.manyglm

Plots the coefficients of the covariates of a manyglm object with confidence intervals.
anova.traitglm

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

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

Model Deviance
extend.x.formula

Extend a Formula to all of it's Terms
manylm

Fitting Linear Models for Multivariate Abundance Data
manylm.fit

workhose functions for fitting multivariate linear models
logLik.manylm

Calculate the Log Likelihood
manyany

Fitting Many Univariate Models to Multivariate Abundance Data
manyglm

Fitting Generalized Linear Models for Multivariate Abundance Data
glm1

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

Create a List of Univariate Formulas
glm1path

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

Construct Mean-Variance plots for Multivariate Abundance Data
plotMvaFactor

Draw a Mvabund Object split into groups.
predict.manyglm

Predict Method for MANYGLM Fits
plot.mvabund

Plot Multivariate Abundance Data and Formulae
mvabund-package

Statistical methods for analysing multivariate abundance data
plot.manylm

Plot Diagnostics for a manylm or a manyglm Object
mvabund

Multivariate Abundance Data Objects
mvformula

Model Formulae for Multivariate Abundance Data
shiftpoints

Calculate a shift for plotting overlapping points
spider

Spider data
mvabund-internal

Internal mvabund Objects
summary.manyglm

Summarizing Multivariate Generalized Linear Model Fits for Abundance Data
unabund

Remove the mvabund Class Attribute
traitglm

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

Summarizing Linear Model Fits for Multivariate Abundance Data
tikus

Tikus Island Dataset
plot.manyany

Plot Diagnostics for a manyany or glm1path Object
predict.manylm

Model Predictions for Multivariate Linear Models
predict.traitglm

Predictions from fourth corner model fits
ridgeParamEst

Estimation of the ridge parameter
residuals.manyglm

Residuals for MANYGLM, MANYANY, GLM1PATH Fits
solberg

Solberg Data