Title: Tools to Gather Data from Major League Baseball Advanced Media
Description: Multi-core processing of Gameday data from Major League Baseball Advanced Media <http://gd2.mlb.com/components/game/mlb/>. Additional tools to parallelize large data sets and write them to a database.
Imports: magrittr, xml2, dplyr, stringr, purrr, utils, stats, foreach,
Suggests: testthat, knitr, rmarkdown, pitchRx, viridis, ggplot2,
Packaged: 2017-12-01 17:05:17 UTC; kriseberwein

Packaged: 2018-02-27 17:17:35 UTC; kriseberwein

Imports: magrittr, xml2, dplyr, stringr, purrr, tidyr, utils, stats,
foreach, iterators, parallel, doParallel, DBI
Packaged: 2018-03-15 13:52:14 UTC; kriseberwein

Packaged: 2018-04-30 19:10:52 UTC; kriseberwein

Description: Multi-core processing of data from Major League Baseball Advanced Media <http://gd2.mlb.com/components/game/mlb/>. Additional tools to parallel process large data sets and write them to a database.
Suggests: testthat, knitr, rmarkdown, ggplot2, RSQLite, dbplyr
Packaged: 2019-02-16 19:18:45 UTC; mediacenter

Packaged: 2019-04-02 18:08:59 UTC; mediacenter

Title: Major League Baseball Player Statistics Calculator
Description: Computational functions for player metrics in major league baseball including batting, pitching, fielding, base-running, and overall player statistics. This package is actively maintained with new metrics being added as they are developed.

Title: Stats, Photos, Logos, and Colors of M.L.B. (Major League
Description: Main use case is to gives users the ability to work with Major League Baseball data in a clean and detailed way.
Which provides users with a variety of ways to improve visualizations.
Imports: dplyr (>= 1.0), tidyr (>= 1.0), glue, purrr, tibble, utils,
Suggests: tidyverse, knitr, rmarkdown, testthat (>= 3.0.0)

Imports: httr, dplyr (>= 1.0), tidyr (>= 1.0), glue, purrr, tibble,
utils, jsonlite, janitor, rvest, ggtext, stringr, ggplot2, xml2

Title: Exploratory Data Analysis and Manipulation of Multi-Label Data
Authors@R: c( person("David", "Charte", email = "fdavidcl@outlook.com", role =
"cre"), person("Francisco", "Charte", email = "francisco@fcharte.com", role
Description: Exploratory data analysis and manipulation functions for
multi-label data sets along with interactive Shiny application to ease their