Package: sport
Type: Package
Title: Sequential Pairwise Online Rating Techniques
Version: 0.2.2
Depends: R (>= 3.0)
Authors@R: person(given = "Dawid",
                  family = "Kałędkowski",
                  role = c("aut", "cre"),
                  email = "dawid.kaledkowski@gmail.com",
                  comment = "ORCID: <https://orcid.org/0000-0001-9533-457X>")
Maintainer: Dawid Kałędkowski <dawid.kaledkowski@gmail.com>
Description: 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) <https://www.glicko.net/research/glicko.pdf>;
        Mark E. Glickman (2001) <doi:10.1080/02664760120059219>; Ruby
        C. Weng, Chih-Jen Lin (2011)
        <https://www.jmlr.org/papers/volume12/weng11a/weng11a.pdf>; W.
        Penny, Stephen J. Roberts (1999)
        <doi:10.1109/IJCNN.1999.832603>.
BugReports: https://github.com/gogonzo/sport/issues
Imports: Rcpp, data.table, ggplot2
LinkingTo: Rcpp
License: GPL-2
Encoding: UTF-8
Language: en-US
URL: https://github.com/gogonzo/sport
LazyData: true
RoxygenNote: 7.2.3
Roxygen: list(markdown = TRUE)
Suggests: dplyr, knitr, lobstr, rmarkdown, testthat, vdiffr
VignetteBuilder: knitr
Repository: https://gogonzo.r-universe.dev
Date/Publication: 2026-03-16 20:08:53 UTC
RemoteUrl: https://github.com/gogonzo/sport
RemoteRef: HEAD
RemoteSha: 8617cfcbfdd100e4cd0860440d79b22e7cb4ffb4
NeedsCompilation: yes
Packaged: 2026-06-14 07:39:34 UTC; root
Author: Dawid Kałędkowski [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-9533-457X>)