Compositional: dirimean.test – R documentation

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dirimean.test

Log-likelihood ratio test for a Dirichlet mean vector

Log-likelihood ratio test for a Dirichlet mean vector.

dirimean.test(x, a)

`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.

Log-likelihood ratio test is performed for the hypothesis the given vector of parameters "a" describes the compositional data well.

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.

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(1, 2, 3) )
dirimean.test(x, c(1, 2, 3) )
dirimean.test( x, c(1, 2, 3)/6 )

Compositional Data Analysis

v4.6

GPL (>= 2)

Authors

Michail Tsagris [aut, cre], Giorgos Athineou [aut], Abdulaziz Alenazi [ctb]

Initial release

2021-04-27