Man pages for eheinzen/elo
Ranking Teams by Elo Rating and Comparable Methods

auc.eloCalculate AUC on an 'elo.run' object
eloThe Elo Package
elo.calcPost-update Elo values
elo.colleyCompute a Colley matrix model for a matchup.
elo.glmCompute a (usually logistic) regression model for a series of...
elo.markovchainCompute a Markov chain model for a series of matches.
elo.model.frameInterpret formulas in 'elo' functions
elo.movCreate a "margin of victory" column
elo.mseCalculate the mean square error
elo.probElo probability
elo.runCalculate running Elos for a series of matches.
elo.run.helpersHelper functions for 'elo.run'
elo.run.multiteamCalculate running Elos for a series of multi-team matches.
elo.updateElo updates
elo.winpctCompute a (usually logistic) regression based on win...
favored.eloClassify teams that are favored to win
fitted.eloExtract model values
formula.specialsDetails on 'elo' formulas and the specials therein
predict.eloMake Predictions on an 'elo' Object
rank.teamsRank teams
scoreCreate a 1/0/0.5 win "indicator"
summary.eloSummarize an 'elo' Object
tournament'tournament': Mock data for examples
tournament.multiteam'tournament.multiteam': Mock data for examples
eheinzen/elo documentation built on Oct. 11, 2023, 12:19 a.m.