Learn R Programming

kappalab (version 0.4-0)

expect.Choquet.unif-methods: Expectation and standard deviation of the Choquet integral in the uniform and normal cases

Description

Methods for computing the expectation and standard deviation of the Choquet integral in the standard uniform and standard normal cases.

Arguments

References

J-L. Marichal and I. Kojadinovic (2007), The distribution of linear combinations of lattice polynomials from the uniform distribution, submitted.

See Also

game-class, Mobius.game-class.

Examples

Run this code
## a capacity
mu <- capacity(c(0,0.1,0.6,rep(0.9,4),1))

## the expectation and the standard deviation
## of the Choquet integral in the uniform case
expect.Choquet.unif(mu)
sd.Choquet.unif(mu)

## the same but empirically
m <- 10000
ch <- numeric(m)
for (i in 1:m) {
     f <- runif(3) 
     ch[i] <- Choquet.integral(mu,f)
}
mean(ch)
sd(ch)

## the expectation and the standard deviation
## of the Choquet integral in the normal case
expect.Choquet.norm(mu)
sd.Choquet.norm(mu)
expect.Choquet.norm(Mobius(mu))

## the same but empirically
for (i in 1:m) {
     f <- rnorm(3) 
     ch[i] <- Choquet.integral(mu,f)
}
mean(ch)
sd(ch)

Run the code above in your browser using DataLab