mau (version 0.1.2)

Sim.Weights: Simulation of weights

Description

Simulation of weights employing the Dirichlet distribution. The concentration parameters for the Dirichlet distribution are tentative weights.

Usage

Sim.Weights(n, utilities, alpha)

Arguments

n

number of simulations

utilities

utility dataframe, first column is the identifier

alpha

concentration parameter for the Dirichlet distribution

Value

List with data.frames {simulation, weights} with total utilities and simulated weights

Details

Taking advantage of the Dirichlet distribution properties, the weights could be simulated with a concentration around given weights.

See Also

Eval.Utilities

Examples

# NOT RUN {
library( data.table )
N<-10
utilities<-data.table( id = 1:N, 
                       u1 = runif( N, 0, 1 ), 
                       u2 = runif( N, 0, 1 ), 
                       u3 = runif( N, 0, 1 ),
                       u4 = runif( N, 0, 1 ) )
n<-100
alpha<-c( 0.2, 0.5, 0.1, 0.2 )
S<-Sim.Weights( n, utilities, alpha )
# }