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

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/dirimean.test.R

Description

Log-likelihood ratio test for a Dirichlet mean vector.

Usage

1

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 <[email protected]> and Giorgos Athineou <[email protected]>

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

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2
3
x <- rdiri( 100, c(1, 2, 3) )
dirimean.test(x, c(1, 2, 3) )
dirimean.test( x, c(1, 2, 3)/6 )

Compositional documentation built on June 4, 2018, 5:04 p.m.