Package: TrueSkillThroughTime 0.1.1
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>.
Authors:
TrueSkillThroughTime_0.1.1.tar.gz
TrueSkillThroughTime_0.1.1.zip(r-4.5)TrueSkillThroughTime_0.1.1.zip(r-4.4)TrueSkillThroughTime_0.1.1.zip(r-4.3)
TrueSkillThroughTime_0.1.1.tgz(r-4.4-any)TrueSkillThroughTime_0.1.1.tgz(r-4.3-any)
TrueSkillThroughTime_0.1.1.tar.gz(r-4.5-noble)TrueSkillThroughTime_0.1.1.tar.gz(r-4.4-noble)
TrueSkillThroughTime_0.1.1.tgz(r-4.4-emscripten)TrueSkillThroughTime_0.1.1.tgz(r-4.3-emscripten)
TrueSkillThroughTime.pdf |TrueSkillThroughTime.html✨
TrueSkillThroughTime/json (API)
# Install 'TrueSkillThroughTime' in R: |
install.packages('TrueSkillThroughTime', repos = c('https://glandfried.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/glandfried/trueskillthroughtime.r/issues
Last updated 1 months agofrom:3798f3fe8f. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 22 2024 |
R-4.5-win | OK | Nov 22 2024 |
R-4.5-linux | OK | Nov 22 2024 |
R-4.4-win | OK | Nov 22 2024 |
R-4.4-mac | OK | Nov 22 2024 |
R-4.3-win | OK | Nov 22 2024 |
R-4.3-mac | OK | Nov 22 2024 |
Exports:forgetGameGaussianHistoryisapproxlc_printperformancePiPlayerposteriorsTau
Dependencies:hash
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Game | Game posteriors posteriors,Game-method |
Gaussian | *,Gaussian,Gaussian-method +,Gaussian,Gaussian-method -,Gaussian,Gaussian-method /,Gaussian,Gaussian-method ==,Gaussian,Gaussian-method forget forget,Gaussian,numeric,numeric-method Gaussian isapprox isapprox,Gaussian,Gaussian,numeric-method performance,Player-method Pi Pi,Gaussian-method Tau Tau,Gaussian-method |
History | History History-class |
Print list of Gaussian using the python and julia syntax | lc_print |
Player | performance Player |