Package: EloOptimized 0.3.2.9000

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_0.3.2.9000.tar.gz
EloOptimized_0.3.2.9000.zip(r-4.7-any)EloOptimized_0.3.2.9000.zip(r-4.6-any)EloOptimized_0.3.2.9000.zip(r-4.5-any)
EloOptimized_0.3.2.9000.tgz(r-4.6-any)EloOptimized_0.3.2.9000.tgz(r-4.5-any)
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EloOptimized_0.3.2.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
EloOptimized/json (API)

# Install 'EloOptimized' in R:

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

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:

elo elo-rating maximum-likelihood-estimation

4.26 score 3 stars 12 scripts 335 downloads 1 mentions 5 exports 33 dependencies

Last updated from:027ba7801b. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	166
source / vignettes	OK	220
linux-release	OK	130
macos-release	OK	106
macos-oldrel	OK	94
windows-devel	OK	90
windows-release	OK	76
windows-oldrel	OK	80
wasm-release	OK	109

Exports:elo.m3_lik_vect elo.model1 elo.model3 eloratingfixed eloratingopt

Dependencies:ape BAMMtools bitops caTools cli cpp11 digest dplyr generics glue gplots gtools KernSmooth lattice lifecycle lubridate magrittr nlme pillar pkgconfig plyr R6 Rcpp reshape2 rlang stringi stringr tibble tidyselect timechange utf8 vctrs withr

NBA Example

Traditional Elo scores with default parameter values | ML optimized K value | ML optimized K and initial Elo scores

Rendered fromnba-example.Rmdusingknitr::rmarkdown

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

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
internal fn to create cardinal rank scores	cardinalize
Anonymized female chimpanzee pant-grunt data from Gombe	chimpagg_f
Anonymized male chimpanzee pant-grunt data from Gombe	chimpagg_m
Anonymized female chimpanzee presence data from Gombe	chimppres_f
Anonymized male chimpanzee presence data from Gombe	chimppres_m
optimize k parameter and entry Elo scores, vectorized	elo.m3_lik_vect
Optimize k parameter in Elo rating method	elo.model1
optimize k parameter and entry Elo scores	elo.model3
EloOptimized: ML fitting of Elo Scores	EloOptimized-package EloOptimized
Create daily elo ranks and multiple derivatives with user-defined parameter values	eloratingfixed
Create daily ML fitted Elo ranks and multiple derivatives	eloratingopt
internal fn to generate categorical ranks	jenksify
NBA games 1995-96	nba
internal fn to relativize rank scores	relativize