CRAN/E | sport

sport

Sequential Pairwise Online Rating Techniques

Installation

About

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.

github.com/gogonzo/sport
Bug report File report

Key Metrics

Version 0.2.1
R ≥ 3.0
Published 2024-01-08 114 days ago
Needs compilation? yes
License GPL-2
CRAN checks sport results
Language en-US

Downloads

Yesterday 15 0%
Last 7 days 81 +16%
Last 30 days 241 -4%
Last 90 days 728 -30%
Last 365 days 3.015 +6%

Maintainer

Maintainer

Dawid Kałędkowski

dawid.kaledkowski@gmail.com

Authors

Dawid Kałędkowski

aut / cre

Material

NEWS
Reference manual
Package source

Vignettes

sport an R package for online update algorithms
The theory of the online update algorithms

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

sport archive

Depends

R ≥ 3.0

Imports

Rcpp
data.table
ggplot2

Suggests

dplyr
knitr
lobstr
rmarkdown
testthat

LinkingTo

Rcpp