elo.model3: optimize k parameter and entry Elo scores

In EloOptimized: Optimized Elo Rating Method for Obtaining Dominance Ranks

Description

Function to optimize k parameter and entry Elo scores

Usage

elo.model3(par, IA_data, all_ids, return_likelihood = T)

Arguments

par	list of parameters, with par[1] being log(k), and par[2:length(par)] being the initial elo scores of individuals
IA_data	list of interaction data, with columns "Date", "Winner", and "Loser" (in that order)
all_ids	list of all ids to rank
return_likelihood	If TRUE, returns the total likelihood based on all interactions given a particular set of parameters. If FALSE, returns a table of Elo scores based on a given set of parameters.

Examples

# for internal use

Example output

Warning message:
no DISPLAY variable so Tk is not available 

EloOptimized documentation built on June 10, 2021, 5:06 p.m.