A utility to quickly obtain clean and tidy men's basketball play by play data. Provides functions to access live play by play and box score data from ESPN<https://www.espn.com> with shot locations when available. It is also a full NBA Stats API<https://www.nba.com/stats/> wrapper. It is also a scraping and aggregating interface for Ken Pomeroy's men's college basketball statistics website<https://kenpom.com>. It provides users with an active subscription the capability to scrape the website tables and analyze the data for themselves.
Version: 2.1.0 Depends: R (≥ 4.0.0) Imports: cli (≥ 1.1.0), data.table (≥ 1.14.0), dplyr, furrr, future, glue, httr (≥ 0.5), janitor, jsonlite, lubridate, magrittr, progressr (≥ 0.6.0), purrr (≥ 0.3.0), Rcpp (≥ 1.0.7), RcppParallel (≥ 5.1.4), rlang (≥ 0.4.0), rvest (≥ 1.0.0), stringr (≥ 1.3.0), tidyr (≥ 1.0.0), usethis (≥ 1.6.0) Suggests: crayon (≥ 1.3.4), curl, DBI, ggplot2, ggrepel, qs (≥ 0.25.1), rmarkdown, RSQLite, stats, stringi, testthat, tibble (≥ 3.0), xml2 (≥ 1.3), yaml Published: 2023-11-25 DOI: 10.32614/CRAN.package.hoopR Author: Saiem Gilani [aut, cre], Jason Lee [ctb], Billy Fryer [ctb], Ross Drucker [ctb], Vladislav Shufinskiy [ctb] Maintainer: Saiem Gilani <saiem.gilani at gmail.com> BugReports: https://github.com/sportsdataverse/hoopR/issues License: MIT + file LICENSE URL: https://github.com/sportsdataverse/hoopR, http://hoopr.sportsdataverse.org/ NeedsCompilation: no SystemRequirements: pandoc (>= 1.12.3), pandoc-citeproc Materials: README NEWS In views: SportsAnalytics CRAN checks: hoopR results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=hoopR to link to this page.
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