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EloOptimized  

Optimized Elo Rating Method for Obtaining Dominance Ranks
View on CRAN: Click here


Download and install EloOptimized package within the R console
Install from CRAN:
install.packages("EloOptimized")

Install from Github:
library("remotes")
install_github("cran/EloOptimized")

Install by package version:
library("remotes")
install_version("EloOptimized", "0.3.1")



Attach the package and use:
library("EloOptimized")
Maintained by
Joseph Feldblum
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-09-17
Latest Update: 2023-08-19
Description:
Provides an implementation of the maximum likelihood methods for deriving Elo scores as published in Foerster, Franz et al. (2016) .
How to cite:
Joseph Feldblum (2018). EloOptimized: Optimized Elo Rating Method for Obtaining Dominance Ranks. R package version 0.3.1, https://cran.r-project.org/web/packages/EloOptimized
Previous versions and publish date:
0.3.0 (2018-09-17 13:50), 0.3.1 (2021-06-10 19:00)
Other packages that cited EloOptimized R package
View EloOptimized citation profile
Other R packages that EloOptimized depends, imports, suggests or enhances
Functions, R codes and Examples using the EloOptimized R package
Some associated functions: EloOptimized . cardinalize . chimpagg_f . chimpagg_m . chimppres_f . chimppres_m . elo.m3_lik_vect . elo.model1 . elo.model3 . eloratingfixed . eloratingopt . jenksify . nba . relativize . 
Some associated R codes: EloOptimized.R . data.R . elo.m3_lik_vect.R . elo.model1.R . elo.model3.R . eloratingfixed.R . eloratingopt.R . internal_fns.R .  Full EloOptimized package functions and examples
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