Log-likelihood ratio test for a symmetric Dirichlet distribution
Log-likelihood ratio test for a symmetric Dirichlet distribution.
sym.test(x)
x |
A matrix with the compositional data. No zero values are allowed. |
Log-likelihood ratio test is performed for the hypothesis that all Dirichelt parameters are equal.
A list including:
est.par |
The estimated parameters under the alternative hypothesis. |
one.par |
The value of the estimated parameter under the null hypothesis. |
res |
The loglikelihood under the alternative and the null hypothesis, the value of the test statistic, its relevant p-value and the associated degrees of freedom, which are actually the dimensionality of the simplex, D-1, where D is the number of components. |
Michail Tsagris
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr and Giorgos Athineou <gioathineou@gmail.com>
Ng Kai Wang, Guo-Liang Tian and Man-Lai Tang (2011). Dirichlet and related distributions: Theory, methods and applications. John Wiley \& Sons.
x <- rdiri( 100, c(5, 7, 1, 3, 10, 2, 4) ) sym.test(x) x <- rdiri( 100, c(5, 5, 5, 5, 5) ) sym.test(x)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.