The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

TrueSkillThroughTime: Skill Estimation Based on a Single Bayesian Network

Most estimators implemented by the video game industry cannot obtain reliable initial estimates nor guarantee comparability between distant estimates. TrueSkill Through Time solves all these problems by modeling the entire history of activities using a single Bayesian network allowing the information to propagate correctly throughout the system. This algorithm requires only a few iterations to converge, allowing millions of observations to be analyzed using any low-end computer. The core ideas implemented in this project were developed by Dangauthier P, Herbrich R, Minka T, Graepel T (2007). "Trueskill through time: Revisiting the history of chess." <https://dl.acm.org/doi/10.5555/2981562.2981605>.

Version: 0.1.1
Depends: R (≥ 2.10)
Imports: hash, methods, stats
Published: 2023-04-26
DOI: 10.32614/CRAN.package.TrueSkillThroughTime
Author: Gustavo Landfried [aut, cre]
Maintainer: Gustavo Landfried <gustavolandfried at gmail.com>
BugReports: https://github.com/glandfried/TrueSkillThroughTime.R/issues
License: GPL (≥ 3)
URL: https://github.com/glandfried/TrueSkillThroughTime.R
NeedsCompilation: no
CRAN checks: TrueSkillThroughTime results

Documentation:

Reference manual: TrueSkillThroughTime.pdf

Downloads:

Package source: TrueSkillThroughTime_0.1.1.tar.gz
Windows binaries: r-devel: TrueSkillThroughTime_0.1.1.zip, r-release: TrueSkillThroughTime_0.1.1.zip, r-oldrel: TrueSkillThroughTime_0.1.1.zip
macOS binaries: r-release (arm64): TrueSkillThroughTime_0.1.1.tgz, r-oldrel (arm64): TrueSkillThroughTime_0.1.1.tgz, r-release (x86_64): TrueSkillThroughTime_0.1.1.tgz, r-oldrel (x86_64): TrueSkillThroughTime_0.1.1.tgz
Old sources: TrueSkillThroughTime archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=TrueSkillThroughTime to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.