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 + fileLICENSE |
| 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 |