Functions supporting the common needs of packages 'ChemoSpec' and 'ChemoSpec2D'.

Computes Chernoff's distribution based on the method in Piet Groeneboom & Jon A Wellner (2001) Computing Chernoff's Distribution, Journal of Computational and Graphical Statistics, 10:2, 388-400, <doi:10.1198/10618600152627997>.    Chernoff's distribution is defined as the distribution of the maximizer of the two-sided Brownian motion minus quadratic drift. That is, Z = argmax (B(t)-t^2).

Provides an alternative approach to multiple testing
        by calculating a simultaneous upper confidence bounds for the
        number of true null hypotheses among any subset of the hypotheses of interest, 
        using the methods of Goeman and Solari (2011) <doi:10.1214/11-STS356>.

Race results of the Cherry Blossom Run, which is an annual road race that takes place in Washington, DC.

This is an opinionated wrapper around the
    python-chess package. It allows users to read and write PGN files as
    well as create and explore game trees such as the ones seen in chess
    books.

A chess program which allows the user to create a game, add moves,
             check for legal moves and game result, plot the board, take back, read and write FEN (Forsyth–Edwards Notation).
             A basic chess engine based on minimax is implemented.

Provides functions to work with directed (asymmetric) and 
    undirected (symmetric) spatial networks. It makes the creation of 
    connectivity matrices easier, i.e. a binary matrix of dimension n x n, where 
    n is the number of nodes (sampling units) indicating the presence (1) or  
    the absence (0) of an edge (link) between pairs of nodes. Different network
    objects can be produced by 'chessboard': node list, neighbor list, edge 
    list, connectivity matrix. It can also produce objects that will be used 
    later in Moran's Eigenvector Maps (Dray et al. (2006) <doi:10.1016/j.ecolmodel.2006.02.015>)
    and Asymetric Eigenvector Maps (Blanchet et al. (2008) <doi:10.1016/j.ecolmodel.2008.04.001>), 
    methods available in the package 'adespatial' (Dray et al. (2023) 
    <https://CRAN.R-project.org/package=adespatial>). This work is part of the 
    FRB-CESAB working group Bridge 
    <https://www.fondationbiodiversite.fr/en/the-frb-in-action/programs-and-projects/le-cesab/bridge/>.