Operations on triangular meshes based on 'VCGLIB'. This package
    integrates nicely with the R-package 'rgl' to render the meshes processed by
    'Rvcg'. The Visualization and Computer Graphics Library (VCG for short) is
    an open source portable C++ templated library for manipulation, processing
    and displaying with OpenGL of triangle and tetrahedral meshes. The library,
    composed by more than 100k lines of code, is released under the GPL license,
    and it is the base of most of the software tools of the Visual Computing Lab of
    the Italian National Research Council Institute ISTI <https://vcg.isti.cnr.it/>,
    like 'metro' and 'MeshLab'. The 'VCGLIB' source is pulled from trunk
    <https://github.com/cnr-isti-vclab/vcglib> and patched to work with options
    determined by the configure script as well as to work with the header files
    included by 'RcppEigen'.

Check latest release version of R and R package (both in 'CRAN', 'Bioconductor' or 'Github').

A framework with tools to compare two random variables via stochastic dominance. See the README.md at <https://github.com/EtorArza/RVCompare> for a quick start guide. It can compute the Cp and Cd of two probability distributions and the Cumulative Difference Plot as explained in E. Arza (2022) <doi:10.1080/10618600.2022.2084405>. Uses bootstrap or DKW-bounds to compute the confidence bands of the cumulative distributions. These two methods are described in B. Efron. (1979) <doi:10.1214/aos/1176344552> and P. Massart (1990) <doi:10.1214/aop/1176990746>.

Random vectors, called rvecs. An rvec holds
    multiple draws, but tries to behave like a standard
    R vector, including working well in data frames.
    Rvecs are useful for analysing
    output from a simulation or a Bayesian analysis.

Simple and fast tool for transforming phytosociological 
    vegetation data into digital form for the following analysis.
    Danihelka, Chrtek, and Kaplan (2012, ISSN:00327786).
    Hennekens, and Schaminée (2001) <doi:10.2307/3237010>.
    Tichý (2002) <doi:10.1111/j.1654-1103.2002.tb02069.x>.
    Wickham, François, Henry, Müller (2022) <https://CRAN.R-project.org/package=dplyr>.