anova.traitglm
(Package: mvabund) :
Testing for a environment-by-trait (fourth corner) interaction by analysis of deviance
Returns an analysis of deviance from a fourth corner model, as computed using traitglm, typically to test for an environment-by-trait interaction. Slowly! This function works via anova.manyglm, which uses row-resampling for inference, and it only applies to traitglm objects that have been fitted using the (default) manyglm function.
mvformula
(Package: mvabund) :
Model Formulae for Multivariate Abundance Data
mvformula is a method to create an object of class mvformula as.mvformula is a function to turn a formula into a mvformula is.mvformula tests if its argument is a mvformula object. mvformula is a class of objects for which special-purpose plotting and regression functions have been written in the mvabund-package. The above are useful preliminary functions before analysing data using the special-purpose functions. These new functions were written specially for the analysis of multivariate abundance data in ecology, hence the title 'mvabund'.
manyglm
(Package: mvabund) :
Fitting Generalized Linear Models for Multivariate Abundance Data
manyglm is used to fit generalized linear models to high-dimensional data, such as multivariate abundance data in ecology. This is the base model-fitting function - see plot.manyglm for assumption checking, and anova.manyglm or summary.manyglm for significance testing.
manyany
(Package: mvabund) :
Fitting Many Univariate Models to Multivariate Abundance Data
manyany is used to fit many univariate models (GLMs, GAMs, otherwise) to high-dimensional data, such as multivariate abundance data in ecology. This is the base model-fitting function - see plot.manyany for assumption checking, and anova.manyany for significance testing.
summary.manylm
(Package: mvabund) :
Summarizing Linear Model Fits for Multivariate Abundance Data
summary method for class "manylm" - computes a table summarising the statistical significance of different multivariate terms in a linear model fitted to high-dimensional data, such as multivariate abundance data in ecology.
providing 
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