DESCRIPTION

Package: hoopR.nba
Title: Access Men's Basketball Play by Play Data
Version: 0.0.1
Authors@R:
    c(person(given = "Saiem",
             family = "Gilani",
             role = c("aut", "cre"),
             email = "saiem.gilani@gmail.com"),
      person(given = "Jason",
             family = "Lee",
             role = c("ctb"),
             email = "Jason@aisportsfirm.com"),
      person(given = "Billy",
             family = "Fryer",
             role = c("ctb"),
             email = "billyfryer@att.net"),
      person(given = "Ross",
             family = "Drucker",
             role = c("ctb"),
             email = "ross.a.drucker@gmail.com"))
Description: 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.
License: CC BY 4.0
URL: https://github.com/sportsdataverse/hoopR-nba-data
BugReports: https://github.com/sportsdataverse/hoopR-nba-data/issues
SystemRequirements: pandoc (>= 1.12.3), pandoc-citeproc
Depends:
    R (>= 4.0.0)
Imports:
    arrow (>= 5.0.0),
    cli (>= 3.0.0),
    data.table (>= 1.14.0),
    dplyr (>= 1.0.7),
    future (>= 1.21.0),
    furrr (>= 0.2.2),
    glue (>= 1.4.2),
    httr (>= 0.5),
    janitor,
    jsonlite (>= 1.8.0),
    lubridate,
    magrittr (>= 2.0.1),
    optparse (>= 1.6.2),
    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),
    tictoc (>= 1.0.0),
    tidyr (>= 1.0.0),
    usethis (>= 1.6.0)
Remotes:
    sportsdataverse/hoopR,
    sportsdataverse/sportsdataverse-data,
    ropensci/piggyback
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
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3