Contains data and code to accompany  the book 
             P. Zuccolotto and M. Manisera (2020) Basketball Data Science. Applications with R. CRC Press. ISBN 9781138600799.

Analytically calculates the operating characteristics of
    single-stage and two-stage basket trials with equal sample sizes using the
	power prior design by Baumann et al. (2024) <doi:10.48550/arXiv.2309.06988>
	and the design by Fujikawa et al. (2020) <doi:10.1002/bimj.201800404>.

Provides a unified syntax for the simulation-based comparison of different single-stage basket trial
	designs with a binary endpoint and equal sample sizes in all baskets. Methods include the designs by 
	Baumann et al. (2024) <doi:10.48550/arXiv.2309.06988>, Fujikawa et al. (2020) <doi:10.1002/bimj.201800404>,
	Berry et al. (2020) <doi:10.1177/1740774513497539>, Neuenschwander et al. (2016) <doi:10.1002/pst.1730> and
	Psioda et al. (2021) <doi:10.1093/biostatistics/kxz014>. For the latter three designs, the functions are mostly 
	wrappers for functions provided by the packages 'bhmbasket' and 'bmabasket'.

Bayesian fitting and sensitivity analysis methods for adaptive
    spline surfaces described in <doi:10.18637/jss.v094.i08>. Built to handle continuous and categorical inputs as well as
    functional or scalar output. An extension of the methodology in Denison, Mallick
    and Smith (1998) <doi:10.1023/A:1008824606259>.

Includes algorithms to assess alpha and beta diversity
    in all their dimensions (taxonomic, phylogenetic and functional).
    It allows performing a number of analyses based on species
    identities/abundances, phylogenetic/functional distances, trees,
    convex-hulls or kernel density n-dimensional hypervolumes
    depicting species relationships.
    Cardoso et al. (2015) <doi:10.1111/2041-210X.12310>.

Allows the user to manage easily R packages removal and installation. It offers many functions to display installed packages according to
    specific dates and removes them if needed. The user is always prompted when running the removal functions in order to confirm
    the required action. It also provides functions that will install 'Github' starred R packages whether available on 'CRAN' or not.