sport: Sequential Pairwise Online Rating Techniques

Calculates ratings for two-player or multi-player challenges. Methods included in package such as are able to estimate ratings (players strengths) and their evolution in time, also able to predict output of challenge. Algorithms are based on Bayesian Approximation Method, and they don't involve any matrix inversions nor likelihood estimation. Parameters are updated sequentially, and computation doesn't require any additional RAM to make estimation feasible. Additionally, base of the package is written in C++ what makes sport computation even faster. Methods used in the package refer to Mark E. Glickman (1999) <>; Mark E. Glickman (2001) <doi:10.1080/02664760120059219>; Ruby C. Weng, Chih-Jen Lin (2011) <>; W. Penny, Stephen J. Roberts (1999) <doi:10.1109/IJCNN.1999.832603>.

Package details

AuthorDawid Kałędkowski [aut, cre] (<>)
MaintainerDawid Kałędkowski <>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the sport package in your browser

Any scripts or data that you put into this service are public.

sport documentation built on May 29, 2024, 7:55 a.m.