Compositional (version 4.1)

Simulation of compositional data from the Flexible Dirichlet distribution: Simulation of compositional data from the Flexible Dirichlet distribution

Description

Simulation of compositional data from the Flexible Dirichlet distribution.

Usage

rfd(n, alpha, prob, tau)

Arguments

n

The sample size.

alpha

A vector of the non-negative alpha parameters.

prob

A vector of the clusters' probabilities that must sum to one.

tau

The non-negative scalar tau parameter.

Value

A matrix with compositional data.

Details

For more information see the references.

References

Ongaro, A. and Migliorati, S. (2013) A generalization of the Dirichlet distribution. Journal of Multivariate Analysis, 114, 412--426.

Migliorati, S., Ongaro, A. and Monti, G. S. (2016) A structured Dirichlet mixture model for compositional data: inferential and applicative issues. Statistics and Computing, 1--21.

See Also

fd.est, fd.density

Examples

# NOT RUN {
alpha <- c(12, 11, 10)
prob <- c(0.25, 0.25, 0.5)
x <- rfd(100, alpha, prob, 7)
# }