Imports: graphics, grDevices, Hmisc, stats, utils, ggplot2

Title: Test for Multivariate Normal Distribution Based on a
Description: Provides a test of multivariate normality of an unknown sample
that does not require estimation of the nuisance parameters, the mean and covariance
matrix.  Rather, a sequence of transformations removes these nuisance parameters and
results in a set of sample matrices that are positive definite.  These matrices are
uniformly distributed on the space of positive definite matrices in the unit
hyper-rectangle if and only if the original data is multivariate normal. The package performs a
goodness of fit test of this hypothesis. In addition to the test, functions in the
package give visualizations of the support region of positive definite matrices for

hyper-rectangle if and only if the original data is multivariate normal (Fairweather,
1973, Doctoral dissertation, University of Washington). The package performs a
Imports: graphics, grDevices, Hmisc, stats, utils, knitr, ggplot2

Title: Wrap functions of mvpart function providing for instance a more
descriptive tree, the discriminant species at each node (table
1 of Dea'th (2002)), the cascade MRT analysis and an adjusted
Author: Marie-Helene Ouellette <marieheleneo@gmail.com>, with contributions from Pierre Legendre <pierre.legendre@umontreal.ca>.
Depends: Hmisc, mvpart, labdsv, vegan, fBasics, ade4
Description: The main function of this package, MRT, provides to the following information : the proper cluster membership allocation in the tree, the discriminant species for each cluster, the tree nodes at the proper level of R2 (1-relative error), the total species variance partitionned by species, by the tree, and by the splits of the tree, plus a different graphic representation of the final model in the form of a tree. Moreover, the CascadeMRT function allows a cascade MRT analysis and the CasMRTR2 function allows to illustrate the (unadjusted) variation explained by each wave/drops. Last but not least, the R2aGDF function permits the calculation of an adjusted R^2 for an MRT model.