R/comperank-package.R
comperank-package.Rdcomperank 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.
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").
Useful links: