Compositional (version 4.1)

Fitting a Flexible Dirichlet distribution: Fitting a Flexible Dirichlet distribution

Description

Fitting a Flexible Dirichlet distribution.

Usage

fd.est(x, ini.iter = 50, final.iter = 100)

Arguments

x

A matrix or a dataframe containing the compositional data.

ini.iter

Number of iterations for the initial SEM step. Default value is 50.

final.iter

Number of iterations for the final EM step. Default value is 100.

Value

A list including:

alpha

Estimated values of the parameter vector Alpha.

prob

Estimated values of the parameter vector P.

tau

Estimated value of the parameter Tau.

loglik

The Log-likelihood value.

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.

See Also

rfd, fd.density

Examples

# NOT RUN {
x <- rfd(n = 50, a = c(12, 11, 10), p = c(0.25, 0.25, 0.5), tau = 4 )
ela <- fd.est(x,ini.iter = 10, final.iter = 20)
ela
# }