Package: sportsR
Type: Package
Title: A Comprehensive Collection of Sports and Athletics Datasets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Offers a rich and diverse collection of datasets focused on sports,
    athletics, physical performance, and related disciplines. The package
    includes professional and amateur sports data covering team sports such as
    soccer, basketball, baseball, American football, volleyball, rugby, cricket,
    hockey, and handball, as well as individual sports including tennis,
    badminton, table tennis, golf, swimming, cycling, athletics, gymnastics,
    wrestling, boxing, martial arts, weightlifting, triathlon, rowing, canoeing,
    climbing, surfing, skiing, snowboarding, and motorsports. Datasets cover
    player and team performance, match statistics, tournament results,
    championship standings, Olympic and international competitions, rankings,
    player demographics, coaching and training, biomechanics, sports medicine,
    injuries, exercise physiology, fitness assessment, sports nutrition,
    wearable sensor measurements, talent identification, and sports analytics.
    Additional datasets include historical competitions, referee decisions,
    fan engagement, economic indicators, and sports management data obtained
    from public repositories, official organizations, research publications,
    and educational resources.
    Designed for sports scientists, coaches, analysts, researchers, educators,
    students, and data scientists, this package facilitates exploratory data
    analysis, statistical modeling, machine learning, visualization, and sports
    analytics research.
License: GPL-3
Language: en
URL: https://github.com/lightbluetitan/sportsr,
        https://lightbluetitan.github.io/sportsr/
BugReports: https://github.com/lightbluetitan/sportsr/issues
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, testthat (>= 3.0.0), dplyr, knitr, rmarkdown
Depends: R (>= 4.1.0)
Imports: utils
Authors@R: 
    person(
        given = "Renzo",
        family = "Caceres Rossi",
        role = c("aut", "cre"),
        email = "arenzocaceresrossi@gmail.com",
        comment = c(ORCID = "0009-0005-0744-854X")
    )
Config/roxygen2/version: 8.0.0
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-21 00:22:16 UTC; Renzo
Author: Renzo Caceres Rossi [aut, cre] (ORCID:
    <https://orcid.org/0009-0005-0744-854X>)
Repository: CRAN
Date/Publication: 2026-08-26 20:20:02 UTC
Built: R 4.5.3; ; 2026-09-03 00:36:04 UTC; windows
