EIC                     Extended Information Criterion (EIC) to compare
                        models fit with 'mvgls' (or 'mvols') by Maximum
                        Likelihood (ML) or Penalized Likelihood (PL)
GIC                     Generalized Information Criterion (GIC) to
                        compare models fit with 'mvgls' (or 'mvols') by
                        Maximum Likelihood (ML) or Penalized Likelihood
                        (PL)
LRT                     Likelihood Ratio Test
aicw                    Akaike weights
ancestral               Estimation of traits ancestral states.
coef.mvgls              Extract multivariate gls (or ols) model
                        coefficients
dfaShape                Projection of 2D and 3D shapes (from geometric
                        morphometric datasets) on Discriminant axes
effectsize              Multivariate measure of association/effect size
                        for objects of class "manova.gls"
estim                   Ancestral states reconstructions and missing
                        value imputation with phylogenetic/time-series
                        models
fitted.mvgls            Extract multivariate gls (or ols) model fitted
                        values
halflife                The phylogenetic half-life for an
                        Ornstein-Uhlenbeck process
manova.gls              Multivariate Analysis of Variance
mv.Precalc              Model parameterization for the various mvMORPH
                        functions
mvBM                    Multivariate Brownian Motion models of
                        continuous traits evolution
mvEB                    Multivariate Early Burst model of continuous
                        traits evolution
mvLL                    Multivariate (and univariate) algorithms for
                        log-likelihood estimation of arbitrary
                        covariance matrix/trees
mvMORPH-package         Multivariate Comparative Methods for Fitting
                        Evolutionary Models to Morphometric Data
mvOU                    Multivariate Ornstein-Uhlenbeck model of
                        continuous traits evolution
mvOUTS                  Multivariate continuous trait evolution for a
                        stationary time series (Ornstein-Uhlenbeck
                        model)
mvRWTS                  Multivariate Brownian motion / Random Walk
                        model of continuous traits evolution on time
                        series
mvSHIFT                 Multivariate change in mode of continuous trait
                        evolution
mvSIM                   Simulation of (multivariate) continuous traits
                        on a phylogeny
mvgls                   Fit linear model using Generalized Least
                        Squares to multivariate (high-dimensional) data
                        sets
mvgls.dfa               Discriminant Function Analysis (DFA) - also
                        called Linear Discriminant Analysis (LDA) or
                        Canonical Variate Analysis (CVA) - based on
                        multivariate GLS (or OLS) model fit
mvgls.pca               Principal Component Analysis (PCA) based on GLS
                        (or OLS) estimate of the traits
                        variance-covariance matrix (possibly
                        regularized)
mvols                   Fit linear model using Ordinary Least Squares
                        to multivariate (high-dimensional) data sets
mvqqplot                Quantile-Quantile plots for multivariate models
                        fit with 'mvgls' or 'mvols'
pairwise.contrasts      Pairwise contrasts
pairwise.glh            Pairwise multivariate tests between levels of a
                        factor
pcaShape                Projection of 2D and 3D shapes (from geometric
                        morphometric datasets) on Principal Component
                        Axes (PCA)
phyllostomid            Phylogeny and trait data for a sample of
                        Phyllostomid bats
predict.mvgls           Predictions from (multivariate) gls or ols
                        model fit
predict.mvgls.dfa       Predictions from Discriminant analysis
                        conducted with a mvgls model fit
pruning                 Pruning algorithm to compute the square root of
                        the phylogenetic covariance matrix and its
                        determinant.
residuals.mvgls         Extract gls (or ols) model residuals
stationary              The stationary variance of an
                        Ornstein-Uhlenbeck process
vcov.mvgls              Calculate variance-covariance matrix for a
                        fitted object of class 'mvgls'
