In skranz/StratTourn: Tournament of game theoretic strategies

library(StratTourn)
library(shiny)
library(xtable)
library(knitr)
setwd("D:/libraries/StratTourn")

tourn = load.tournament("Tourn_Noisy_PD_20140721_202445.Rdata")
# Data for each match
md = tourn$dt
md = add.other.var(md,c("strat","u"))
md$delta.u = md$u - md$other.u
# Names of all strategies
strats = unique(md$strat)

used.strats = strats
shown.strats = strats

Ranking of strategies by average payoff across matches

  view(strat.rank.from.matches(md))

Note: The sigma.rank of a strategy i is given by 1 plus the number of strategies j whose payoff is larger by more than the sum of standard errors for i and j. This means strategies whose payoffs are statistically too close to each other can have the same sigma.rank.

skranz/StratTourn documentation built on May 30, 2019, 2:02 a.m.