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 |