| Log-likelihood ratio test for a Dirichlet mean vector {Compositional} | R Documentation |
Log-likelihood ratio test for a Dirichlet mean vector
Description
Log-likelihood ratio test for a Dirichlet mean vector.
Usage
dirimean.test(x, a)
Arguments
x |
A matrix with the compositional data. No zero values are allowed. |
a |
A compositional mean vector. The concentration parameter is estimated at first. If the elements do not sum to 1, it is assumed that the Dirichlet parameters are supplied. |
Details
Log-likelihood ratio test is performed for the hypothesis the given vector of parameters "a" describes the compositional data well.
Value
If there are no zeros in the data, a list including:
param |
A matrix with the estimated parameters under the null and the alternative hypothesis. |
loglik |
The log-likelihood under the alternative and the null hypothesis. |
info |
The value of the test statistic and its relevant p-value. |
Author(s)
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr and Giorgos Athineou <gioathineou@gmail.com>.
References
Ng Kai Wang, Guo-Liang Tian and Man-Lai Tang (2011). Dirichlet and related distributions: Theory, methods and applications. John Wiley & Sons.
See Also
sym.test, diri.nr, diri.est, rdiri, ddiri
Examples
x <- rdiri( 100, c(1, 2, 3) )
dirimean.test(x, c(1, 2, 3) )
dirimean.test( x, c(1, 2, 3)/6 )