| comperank-package {comperank} | R Documentation | 
comperank: Ranking and Rating Methods for Competition Results
Description
comperank provides tools for computing ranking and rating based on
competition results. It is tightly connected to its data infrastructure
package comperes. Basic knowledge about
creating valid competition results and Head-to-Head expressions with
comperes is needed in order to efficiently use comperank.
Details
comperank leverages the tidyverse ecosystem
of R packages. Among other things, it means that the main output format is
tibble.
comperank gets inspiration from the book "Who's #1" by
Langville and Meyer. It provides functionality for the following rating
algorithms:
- Algorithms with fixed Head-to-Head structure: - Simplified Massey method with - rate_massey()and- rank_massey().
- Simplified Colley method with - rate_colley()and- rank_colley().
 
- Algorithms with variable Head-to-Head structure: - Keener method with - rate_keener()and- rank_keener().
- Markov method with - rate_markov()and- rank_markov().
 
- Algorithms with iterative nature: - General Iterative ratings with - rate_iterative(),- rank_iterative(), and- add_iterative_ratings().
- Elo ratings with - rate_elo(),- rank_elo(), and- add_elo_ratings().
 
comperank also offers data sets describing professional snooker in seasons
2016/2017 and 2017/2018. See snooker_events, snooker_players,
snooker_matches.
To learn more about comperank browse vignettes with browseVignettes(package
= "comperank").
Author(s)
Maintainer: Evgeni Chasnovski evgeni.chasnovski@gmail.com
See Also
Useful links:
- Report bugs at https://github.com/echasnovski/comperank/issues