In pedroguarderas/mau: Decision Models with Multi Attribute Utility Theory

Colley method

library( mau )
# Example without ties
d <- 10
n <- matrix( sample( x = 0:5, size = d * d, replace = TRUE ), d, d )
n <- n + t( n )
diag( n ) <- 0
g <- rowSums( n )
# Number of win matches for each team
w <- sapply( 1:d, FUN = function( i ) sample( x = 1:g[i], size = 1, replace = TRUE ) )
# Number of lost matches for ech team
l <- rowSums( n ) - w
r <- colley_rating( n, w, l )
print( r )

Offensive - Defensive rating method

A <- matrix( c( 0, 7, 21, 7, 0,
                52, 0, 34, 25, 27, 
                24, 16, 0, 7, 3,
                38, 17, 5, 0, 14,
                45, 7, 30, 52, 0 ), 
             nrow = 5, ncol = 5 )
r <- od_rating( A )
print( r )

Borda counts

library( mau )
m <- 10
n <- 5
R <- matrix( runif( m * n ), m, n )
v <- sample( x = 50:100, size = n )
r <- borda_count( R, v )
print( r )

pedroguarderas/mau documentation built on Oct. 30, 2023, 4:20 a.m.