Elo Ratings


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Documentation for package ‘elo’ version 2.1.1

Help Pages

adjust Details on 'elo' formulas and the specials therein
as.data.frame.elo.run Helper functions for 'elo.run'
as.matrix.elo.run Helper functions for 'elo.run'
as.matrix.elo.run.regressed Helper functions for 'elo.run'
auc.elo Calculate AUC on an 'elo.run' object
auc.elo.colley Calculate AUC on an 'elo.run' object
auc.elo.glm Calculate AUC on an 'elo.run' object
auc.elo.markovchain Calculate AUC on an 'elo.run' object
auc.elo.run Calculate AUC on an 'elo.run' object
auc.elo.running Calculate AUC on an 'elo.run' object
auc.elo.winpct Calculate AUC on an 'elo.run' object
brier Calculate the mean square error
elo The Elo Package
elo.calc Elo functions
elo.calc.default Elo functions
elo.calc.formula Elo functions
elo.colley 'elo.colley'
elo.glm 'elo.glm'
elo.markovchain 'elo.markovchain'
elo.model.frame Interpret formulas in 'elo' functions
elo.mov Create a "margin of victory" column
elo.mse Calculate the mean square error
elo.prob Elo functions
elo.prob.default Elo functions
elo.prob.formula Elo functions
elo.run 'elo.run'
elo.run.helpers Helper functions for 'elo.run'
elo.run2 'elo.run'
elo.update Elo functions
elo.update.default Elo functions
elo.update.formula Elo functions
elo.winpct 'elo.winpct'
favored Classify teams that are favored to win
favored.default Classify teams that are favored to win
favored.elo Classify teams that are favored to win
favored.elo.colley Classify teams that are favored to win
favored.elo.glm Classify teams that are favored to win
favored.elo.markovchain Classify teams that are favored to win
favored.elo.run Classify teams that are favored to win
favored.elo.running Classify teams that are favored to win
favored.elo.winpct Classify teams that are favored to win
final.elos Helper functions for 'elo.run'
final.elos.elo.run Helper functions for 'elo.run'
final.elos.elo.run.regressed Helper functions for 'elo.run'
fitted.elo Extract model values
fitted.elo.colley Extract model values
fitted.elo.glm Extract model values
fitted.elo.markovchain Extract model values
fitted.elo.run Extract model values
fitted.elo.running Extract model values
fitted.elo.winpct Extract model values
formula.specials Details on 'elo' formulas and the specials therein
group Details on 'elo' formulas and the specials therein
is.score Create a 1/0/0.5 win "indicator"
k Details on 'elo' formulas and the specials therein
mov Create a "margin of victory" column
mse Calculate the mean square error
mse.elo.colley Calculate the mean square error
mse.elo.glm Calculate the mean square error
mse.elo.markovchain Calculate the mean square error
mse.elo.run Calculate the mean square error
mse.elo.running Calculate the mean square error
mse.elo.winpct Calculate the mean square error
neutral Details on 'elo' formulas and the specials therein
players Details on 'elo' formulas and the specials therein
predict.elo Make Predictions on an 'elo' Object
predict.elo.colley Make Predictions on an 'elo' Object
predict.elo.glm Make Predictions on an 'elo' Object
predict.elo.markovchain Make Predictions on an 'elo' Object
predict.elo.run Make Predictions on an 'elo' Object
predict.elo.run.regressed Make Predictions on an 'elo' Object
predict.elo.running Make Predictions on an 'elo' Object
predict.elo.winpct Make Predictions on an 'elo' Object
rank.teams Rank teams
rank.teams.elo.colley Rank teams
rank.teams.elo.glm Rank teams
rank.teams.elo.markovchain Rank teams
rank.teams.elo.run Rank teams
rank.teams.elo.run.regressed Rank teams
rank.teams.elo.winpct Rank teams
regress Details on 'elo' formulas and the specials therein
residuals.elo.run Extract model values
score Create a 1/0/0.5 win "indicator"
summary.elo Summarize an 'elo' Object
summary.elo.colley Summarize an 'elo' Object
summary.elo.glm Summarize an 'elo' Object
summary.elo.markovchain Summarize an 'elo' Object
summary.elo.run Summarize an 'elo' Object
summary.elo.winpct Summarize an 'elo' Object
tournament 'tournament': Mock data for examples