The meaning of adea is "alternate DEA". This package is devoted to provide the alternative method of DEA described in the paper entitled "Stepwise Selection of Variables in DEA Using Contribution Load", by F. Fernandez-Palacin, M. A. Lopez-Sanchez and M. Munoz-Marquez. Pesquisa Operacional 38 (1), pg. 1-24, 2018. <doi:10.1590/0101-7438.2018.038.01.0031>.
    A full functional on-line and interactive version is available at
    <https://knuth.uca.es/shiny/DEA/>.

Toolset for the exploration of genetic and genomic
    data. Adegenet provides formal (S4) classes for storing and handling
    various genetic data, including genetic markers with varying ploidy
    and hierarchical population structure ('genind' class), alleles counts
    by populations ('genpop'), and genome-wide SNP data ('genlight'). It
    also implements original multivariate methods (DAPC, sPCA), graphics,
    statistical tests, simulation tools, distance and similarity measures,
    and several spatial methods. A range of both empirical and simulated
    datasets is also provided to illustrate various methods.

Graphical functionalities for the representation of multivariate data. It is a complete re-implementation of the functions available in the 'ade4' package.

A collection of tools for the estimation of animals home range.

A collection of tools for the analysis of habitat selection.

A collection of tools for the analysis of animal movements.

A collection of tools to deal with raster maps.

Multivariate tools to analyze comparative data, i.e. a phylogeny and some traits measured for each taxa. The package contains functions to represent comparative data, compute phylogenetic proximities, perform multivariate analysis with phylogenetic constraints and test for the presence of phylogenetic autocorrelation. The package is described in Jombart et al (2010) <doi:10.1093/bioinformatics/btq292>.

Contains a 'shiny' application called AdEPro (Animation of Adverse Event Profiles) which (audio-)visualizes adverse events occurring in clinical trials. As this data is usually considered sensitive, this tool is provided as a stand-alone application that can be launched from any local machine on which the data is stored.