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
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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

4.18 score 3 stars 9 scripts 217 downloads 1 mentions 5 exports 34 dependencies

Last updated 6 months agofrom:3b13034531. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winOKOct 31 2024
R-4.5-linuxOKOct 31 2024
R-4.4-winOKOct 31 2024
R-4.4-macOKOct 31 2024
R-4.3-winOKOct 31 2024
R-4.3-macOKOct 31 2024

Exports:elo.m3_lik_vectelo.model1elo.model3eloratingfixedeloratingopt

Dependencies:apeBAMMtoolsbitopscaToolsclicpp11digestdplyrfansigenericsgluegplotsgtoolsKernSmoothlatticelifecyclelubridatemagrittrnlmepillarpkgconfigplyrR6Rcppreshape2rlangstringistringrtibbletidyselecttimechangeutf8vctrswithr

NBA Example

Rendered fromnba-example.Rmdusingknitr::rmarkdownon Oct 31 2024.

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