statsnbaR: R interface to stats.nba.com

#' R interface to stats.nba.com
#'
#' A simple interface to stats.nba.com providing basic query functionality
#'
#' This is a simple interface to stats.nba.com based off of the Python package
#' \href{https://github.com/seemethere/nba_py}{nba_py}.
#'
#' Before going into any further details of the package, there are some
#' house-keeping tasks:
#'
#' All the data from the website is Copyright (c) 2016 NBA Media Ventures, LLC.
#' All rights reserved. When using this package you must agree to the
#' \href{http://www.nba.com/news/termsofuse.html}{Terms of Use} of the website.
#'
#' As this package sends http requests to stats.nba.com, you should read their
#' their \href{http://www.nba.com/news/privacy_policy.html}{Privacy Policy}
#' before using this package.
#'
#' This code is licensed under the MIT license
#' \url{https://www.r-project.org/Licenses/MIT}, and you may use this package
#' strictly under those terms.
#'
#' The details of the API end-points were manually sourced by the approach
#' given on this blog post:
#' \url{http://www.gregreda.com/2015/02/15/web-scraping-finding-the-api}.
#' In order to semi-future-proof this, the queries to these end-points and
#' the data extracted from them are evaluated through a fairly informal
#' abstract data layer (ADL). The ADL is specified in internal data extracted,
#' from a YAML which can be viewed on github:
#' \url{http://www.github.com/stephematician/statsnbaR/data-raw}.
#'
#' The package is split into player, team and game data.
#'
#' @author Stephen Wade \email{stephematician@@gmail.com}
#'
#' @seealso \pkg{yaml}, \pkg{httr}
#'
#' @name statsnbaR-package
#' @aliases statsnbaR statsnbaR-package
#' @docType package
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