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. (2017). A structured Dirichlet mixture model for compositional data: inferential and applicative issues. Statistics and Computing, 27, 963--983.