Package: EloOptimized 0.3.2

EloOptimized: Optimized Elo Rating Method for Obtaining Dominance Ranks

Provides an implementation of the maximum likelihood methods for deriving Elo scores as published in Foerster, Franz et al. (2016) <doi:10.1038/srep35404>.

Authors:Joseph Feldblum [aut, cre], Steffen Foerster [aut], Mathias Franz [aut]

EloOptimized_0.3.2.tar.gz
EloOptimized_0.3.2.zip(r-4.5)EloOptimized_0.3.2.zip(r-4.4)EloOptimized_0.3.2.zip(r-4.3)
EloOptimized_0.3.2.tgz(r-4.4-any)EloOptimized_0.3.2.tgz(r-4.3-any)
EloOptimized_0.3.2.tar.gz(r-4.5-noble)EloOptimized_0.3.2.tar.gz(r-4.4-noble)
EloOptimized_0.3.2.tgz(r-4.4-emscripten)EloOptimized_0.3.2.tgz(r-4.3-emscripten)
EloOptimized.pdf |EloOptimized.html✨
EloOptimized/json (API)
NEWS

# Install 'EloOptimized' in R:
install.packages('EloOptimized', repos = c('https://jtfeld.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jtfeld/elooptimized/issues

Datasets:
  • chimpagg_f - Anonymized female chimpanzee pant-grunt data from Gombe
  • chimpagg_m - Anonymized male chimpanzee pant-grunt data from Gombe
  • chimppres_f - Anonymized female chimpanzee presence data from Gombe
  • chimppres_m - Anonymized male chimpanzee presence data from Gombe
  • nba - NBA games 1995-96

On CRAN:

eloelo-ratingmaximum-likelihood-estimation

5 exports 2 stars 1.26 score 34 dependencies 1 mentions 9 scripts 268 downloads

Last updated 4 months agofrom:3b13034531. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 20 2024
R-4.5-winOKAug 20 2024
R-4.5-linuxOKAug 20 2024
R-4.4-winOKAug 20 2024
R-4.4-macOKAug 20 2024
R-4.3-winOKAug 20 2024
R-4.3-macOKAug 20 2024

Exports:elo.m3_lik_vectelo.model1elo.model3eloratingfixedeloratingopt

Dependencies:apeBAMMtoolsbitopscaToolsclicpp11digestdplyrfansigenericsgluegplotsgtoolsKernSmoothlatticelifecyclelubridatemagrittrnlmepillarpkgconfigplyrR6Rcppreshape2rlangstringistringrtibbletidyselecttimechangeutf8vctrswithr

NBA Example

Joseph T. Feldblum

Rendered fromnba-example.Rmdusingknitr::rmarkdownon Aug 20 2024.

Last update: 2019-08-09
Started: 2019-02-22