With this package we provide an easy method to compute robust and conditional Data Envelopment Analysis (DEA), 
             Free Disposal Hull (FDH) and Benefit of the Doubt (BOD) scores. 
             The robust approach is based on the work of Cazals, Florens and Simar (2002) <doi:10.1016/S0304-4076(01)00080-X>. 
             The conditional approach is based on Daraio and Simar (2007) <doi:10.1007/s11123-007-0049-3>.
             Besides we provide graphs to help with the choice of m. 
             We relay on the 'Benchmarking' package to compute the efficiency scores and on the 'np' package to compute non parametric estimation of similarity among units.

Allows the user to access functionality in the
    'CDK', a Java framework for chemoinformatics. This allows the user to load
    molecules, evaluate fingerprints, calculate molecular descriptors and so on.
    In addition, the 'CDK' API allows the user to view structures in 2D.

An R interface to the Chemistry Development Kit, a Java library
    for chemoinformatics. Given the size of the library itself, this package is
    not expected to change very frequently. To make use of the CDK within R, it is
    suggested that you use the 'rcdk' package. Note that it is possible to directly
    interact with the CDK using 'rJava'. However 'rcdk' exposes functionality in a more
    idiomatic way. The CDK library itself is released as LGPL and the sources can be
    obtained from <https://github.com/cdk/cdk>.

Performs 2D Delaunay triangulation, constrained or
    unconstrained, with the help of the C++ library 'CDT'. A function to
    plot the triangulation is provided. The constrained Delaunay
    triangulation has applications in geographic information systems.

An implementation of a stochastic heuristic method for performing multidimensional function optimization. The method is inspired in the Cross-Entropy Method. It does not relies on derivatives, neither imposes particularly strong requirements into the function to be optimized. Additionally, it takes profit from multi-core processing to enable optimization of time-consuming functions.