Compositional (version 5.4)

Log-likelihood ratio test for a Dirichlet mean vector: 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.

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.

Details

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

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

# NOT RUN {
x <- rdiri( 100, c(1, 2, 3) )
dirimean.test(x, c(1, 2, 3) )
dirimean.test( x, c(1, 2, 3)/6 )
# }