Tasmania                Tasmania Dataset
anova.manyany           Analysis of Deviance for Many Univariate Models
                        Fitted to Multivariate Abundance Data
anova.manyglm           Analysis of Deviance for Multivariate
                        Generalized Linear Model Fits for Abundance
                        Data
anova.manylm            ANOVA for Linear Model Fits for Multivariate
                        Abundance Data
anova.traitglm          Testing for a environment-by-trait (fourth
                        corner) interaction by analysis of deviance
antTraits               Ant data, with species traits
best.r.sq               Use R^2 to find the variables that best explain
                        a multivariate response.
boxplot.mvabund         Boxplots for multivariate abundance Data
cv.glm1path             Fits a path of Generalised Linear Models with
                        LASSO (or L1) penalties, and finds the best
                        model by corss-validation.
deviance.manylm         Model Deviance
extend.x.formula        Extend a Formula to all of it's Terms
formulaUnimva           Create a List of Univariate Formulas
glm1                    Fits a Generalised Linear Models with a LASSO
                        (or L1) penalty, given a value of the penalty
                        parameter.
glm1path                Fits a path of Generalised Linear Models with
                        LASSO (or L1) penalties, and finds the model
                        that minimises BIC.
logLik.manylm           Calculate the Log Likelihood
manyany                 Fitting Many Univariate Models to Multivariate
                        Abundance Data
manyglm                 Fitting Generalized Linear Models for
                        Multivariate Abundance Data
manylm                  Fitting Linear Models for Multivariate
                        Abundance Data
manylm.fit              workhose functions for fitting multivariate
                        linear models
meanvar.plot            Construct Mean-Variance plots for Multivariate
                        Abundance Data
mvabund                 Multivariate Abundance Data Objects
mvabund-package         Statistical methods for analysing multivariate
                        abundance data
mvformula               Model Formulae for Multivariate Abundance Data
plot.manyany            Plot Diagnostics for a manyany or glm1path
                        Object
plot.manylm             Plot Diagnostics for a manylm or a manyglm
                        Object
plot.mvabund            Plot Multivariate Abundance Data and Formulae
plotMvaFactor           Draw a Mvabund Object split into groups.
predict.manyglm         Predict Method for MANYGLM Fits
predict.manylm          Model Predictions for Multivariate Linear
                        Models
predict.traitglm        Predictions from fourth corner model fits
residuals.manyglm       Residuals for MANYGLM, MANYANY, GLM1PATH Fits
ridgeParamEst           Estimation of the ridge parameter
shiftpoints             Calculate a shift for plotting overlapping
                        points
solberg                 Solberg Data
spider                  Spider data
summary.manyglm         Summarizing Multivariate Generalized Linear
                        Model Fits for Abundance Data
summary.manylm          Summarizing Linear Model Fits for Multivariate
                        Abundance Data
tikus                   Tikus Island Dataset
traitglm                Fits a fourth corner model for abundance as a
                        function of environmental variables and species
                        traits.
unabund                 Remove the mvabund Class Attribute
