sim_weights: Simulation of weights

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

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

Details

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

Value

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

Author(s)

Pedro Guarderas [e-mail]

See Also

eval_utilities

Examples

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 )

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