riichi

The <code>aflodds</code> data frame has 540 rows and 9 variables. It
 shows the results for 540 Riichi Mahjong games played by 69 
 players at the Melbourne Mahjong Club in 2019. Player identifiers 
 are randomly assigned.

datasets

Implements schemes for estimating player or
team skill based on dynamic updating. Implemented methods include
Elo, Glicko, Glicko-2 and Stephenson. Contains pdf documentation
of a reproducible analysis using approximately two million chess
matches. Also contains an Elo based method for multi-player games
where the result is a placing or a score. This includes zero-sum
games such as poker and mahjong.

Alec Stephenson

PlayerRatings

Dynamic Updating Methods for Player Ratings Estimation

riichi function

This data frame contains the following columns:<dl class="dl-horizontal">
 <dt>Time</dt><dd>The day number within the year 2019.</dd>
	<dt>Play1</dt><dd>Player 1 identifier.</dd>
 <dt>Play2</dt><dd>Player 2 identifier.</dd>
 <dt>Play3</dt><dd>Player 3 identifier.</dd>
 <dt>Play4</dt><dd>Player 4 identifier.</dd>
	<dt>Score1</dt><dd>Player 1 score.</dd>
 <dt>Score2</dt><dd>Player 2 score.</dd>
 <dt>Score3</dt><dd>Player 3 score.</dd>
 <dt>Score4</dt><dd>Player 4 score.</dd>
 </dl>

Format

Riichi Mahjong Game Results — riichi

This data frame contains the following columns:<dl class='dl-horizontal'>
 <dt>Time</dt><dd>The day number within the year 2019.</dd>
	<dt>Play1</dt><dd>Player 1 identifier.</dd>
 <dt>Play2</dt><dd>Player 2 identifier.</dd>
 <dt>Play3</dt><dd>Player 3 identifier.</dd>
 <dt>Play4</dt><dd>Player 4 identifier.</dd>
	<dt>Score1</dt><dd>Player 1 score.</dd>
 <dt>Score2</dt><dd>Player 2 score.</dd>
 <dt>Score3</dt><dd>Player 3 score.</dd>
 <dt>Score4</dt><dd>Player 4 score.</dd>
 </dl>

riichi: Riichi Mahjong Game Results

Description

Usage

Arguments

Format

Details