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:Gustavo Landfried [aut, cre]

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-4.5-any)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

On CRAN:

Conda-Forge:

3.40 score 5 stars 5 scripts 172 downloads 11 exports 1 dependencies

Last updated 5 months agofrom:3798f3fe8f. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 20 2025
R-4.5-winOKFeb 20 2025
R-4.5-macOKFeb 20 2025
R-4.5-linuxOKFeb 20 2025
R-4.4-winOKFeb 20 2025
R-4.4-macOKFeb 20 2025
R-4.3-winOKFeb 20 2025
R-4.3-macOKFeb 20 2025

Exports:forgetGameGaussianHistoryisapproxlc_printperformancePiPlayerposteriorsTau

Dependencies:hash

Readme and manuals

Help Manual

Help pageTopics
GameGame 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
HistoryHistory History-class
Print list of Gaussian using the python and julia syntaxlc_print
Playerperformance Player