Tools to Work with the Flexible Dirichlet Distribution
Information Criterions of a Flexible Dirichlet Model
Amalgamation
Cluster Barycenters of a Flexible Dirichlet model
Flexible Dirichlet Cluster Distances
The Flexible Dirichlet Density Function
Flexible Dirichlet Estimation
The Flexible Dirichlet Random Generation
Marginal Plot of a Flexible Dirichlet
Flexible Dirichlet Moments
Normalization
Right Triangle Plot of a Flexible Dirichlet
Standard Deviation of the ML estimators of a Flexible Dirichlet
Subcomposition
Ternary Plot of a Flexible Dirichlet
Contour Lines of a Flexible Dirichlet
Plot Method for FDfitted Objects
Print Method for FDfitted Objects
Summary Method for FDfitted Objects
Provides tools to work with the Flexible Dirichlet distribution. The main features are an E-M algorithm for computing the maximum likelihood estimate of the parameter vector and a function based on conditional bootstrap to estimate its asymptotic variance-covariance matrix. It contains also functions to plot graphs, to generate random observations and to handle compositional data.