Minimized Kullback-Leibler divergence between Dirichlet and logistic normal {Compositional} | R Documentation |
Minimized Kullback-Leibler divergence between Dirichlet and logistic normal
Description
Minimized Kullback-Leibler divergence between Dirichlet and logistic normal distributions.
Usage
kl.diri.normal(a)
Arguments
a |
A vector with the parameters of the Dirichlet parameters. |
Details
The function computes the minimized Kullback-Leibler divergence from the Dirichlet distribution to the logistic normal distribution.
Value
The minimized Kullback-Leibler divergence from the Dirichlet distribution to the logistic normal distribution.
Author(s)
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
References
Aitchison J. (1986). The statistical analysis of compositional data, p. 127. Chapman & Hall.
See Also
diri.nr, diri.contour, rdiri, ddiri, dda, diri.reg
Examples
a <- runif(5, 1, 5)
kl.diri.normal(a)
[Package Compositional version 6.9 Index]