CRAN/E | hoopR

hoopR

Access Men's Basketball Play by Play Data

Installation

About

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 with shot locations when available. It is also a full NBA Stats API wrapper. It is also a scraping and aggregating interface for Ken Pomeroy's men's college basketball statistics website. It provides users with an active subscription the capability to scrape the website tables and analyze the data for themselves.

github.com/sportsdataverse/hoopR
hoopr.sportsdataverse.org/
System requirements pandoc (>= 1.12.3), pandoc-citeproc
Bug report File report

Key Metrics

Version 2.1.0
R ≥ 4.0.0
Published 2023-11-25 151 days ago
Needs compilation? no
License MIT
License File
CRAN checks hoopR results

Downloads

Yesterday 19 0%
Last 7 days 120 -37%
Last 30 days 636 -32%
Last 90 days 2.410 -1%
Last 365 days 7.592 +27%

Maintainer

Maintainer

Saiem Gilani

saiem.gilani@gmail.com

Authors

Saiem Gilani

aut / cre

Jason Lee

ctb

Billy Fryer

ctb

Ross Drucker

ctb

Vladislav Shufinskiy

ctb

Material

README
NEWS
Reference manual
Package source

In Views

SportsAnalytics

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

hoopR archive

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