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mRchmadness

NCAA men's basketball data scraping and bracketology R package

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Install

install.packages('mRchmadness')

Monthly Downloads

4

Version

1.0.0

License

GPL-2

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Repository

https://github.com/elishayer/mRchmadness

Maintainer

Eli Shayer

Last Published

April 9th, 2017

Functions in mRchmadness (1.0.0)

2016 NCAA Men's Basketball Game-by-Game Results

2017 NCAA Men's Basketball Game-by-Game Results

pred.pop.men.2016

2016 March Madness Men's Population Pick Distribution

pred.pop.men.2017

2017 March Madness Population Pick Distribution

Run the Shiny app allowing for interaction with the bracket

Compute score for bracket given actual result

scrape.team.game.results

Scrape game results for a single team-year combination

Scrape the team names and ids from the ESPN NCAA MBB index

Fill out a bracket based on some criteria

Fold a vector onto itself

Fit a Bradley-Terry model on game score data

Plot bracket to device

pred.pop.women.2016

2016 March Madness Women's Population Pick Distribution

pred.pop.women.2017

2017 March Madness Women's Population Pick Distribution

Simulate the full bracket starting with an empty bracket

sim.bracket.matrix

Simulate the full bracket starting with an empty bracket

bracket.men.2017

2017 Men's March Madness bracket

bracket.women.2017

2017 Women's March Madness bracket

scrape.game.results

Scrape the game-by-game results of the NCAA MBB seaon

scrape.population.distribution

Scrape the average rate of teams being picked to win across all ESPN brackets

NCAA Women's Basketball Teams

games.women.2017

2017 NCAA Women's Basketball Game-by-Game Results

March Madness Bracket Package

pred.538.men.2017

2017 March Madness 538 Win Probability Predictions

pred.538.women.2017

2017 Women's March Madness 538 Win Probability Predictions

sim.bracket.source

Simulate the full bracket starting with an empty bracket

NCAA Men's Basketball Teams

Unfold a vector (the inverse of the fold function)