Bayesian Network Structure Learning from Data with Missing Values.
    The package implements the Silander-Myllymaki complete search,
    the Max-Min Parents-and-Children, the Hill-Climbing, the
    Max-Min Hill-climbing heuristic searches, and the Structural
    Expectation-Maximization algorithm. Available scoring functions are
    BDeu, AIC, BIC. The package also implements methods for generating and using
    bootstrap samples, imputed data, inference.

Bayesian networks provide an intuitive framework for probabilistic reasoning 
             and its graphical nature can be interpreted quite clearly. Graph based methods 
             of machine learning are becoming more popular because they offer a richer model 
             of knowledge that can be understood by a human in a graphical format. The 'bnviewer' 
             is an R Package that allows the interactive visualization of Bayesian Networks. 
             The aim of this package is to improve the Bayesian Networks visualization over 
             the basic and static views offered by existing packages.

A menu-driven program and library of functions for carrying out
    convergence diagnostics and statistical and graphical analysis of Markov
    chain Monte Carlo sampling output.

Tools for constructing board/grid based games, as well as readily available game(s) for your entertainment.

This data package contains a subset of the Bodenmiller et al, Nat Biotech 2012 dataset for testing single cell, high dimensional analysis and visualization methods.

A gradient boosting-based algorithm by incorporating a diversity term to guide the gradient boosting iterations, see Bourel, Cugliari, Goude, Poggi (2021) <https://hal.archives-ouvertes.fr/hal-03041309/>.

A wrapper to allow users to download Bus Open Data Service 'BODS' transport information from the API (<https://www.bus-data.dft.gov.uk/>).
    This includes timetable and fare metadata (including links for full datasets), timetable data at line level,
    and real-time location data.