MixtureInf (version 1.0-1)

MixtureInf-package: Likelihood-based testing of the order of a finite mixture

Description

The MixtureInf package is an implementation of algorithms for likelihood-based testing of the order of a finite mixture, described in Li and Chen (2010). For more details refer to the bibliography and help for individual functions.

code

library(help=MixtureInf)

Details

More information is available on the following topics:

• emtest.binom

{test the order of a mixture of binomials} emtest.exp{test the order of a mixture of exponentials} emtest.norm{test the order of a mixture of normals with variance assumed to be 1} emtest.norm2{test the order of a mixture of normals without equal variance assumption} emtest.pois{test the order of a mixture of Poissons}

References

Chen, J. and Li, P. (2011). ``Tuning the EM-test for the order of finite mixture models.'' The Canadian Journal of Statistics. 39, 389--404.

Li, P. and Chen, J. (2010). ``Testing the order of a finite mixture model.'' JASA. 105, 1084--1092.

Li, P. and Chen, J. (2009). ``Non-finite Fisher information and homogeneity: The EM approach.'' Biometrika. 96, 411--426.

Chen, J. and Li, P. (2009). ``Hypothesis test for normal mixture models: The EM approach.'' The Annals of Statistics. 37, 2523--2542.

See Also

emtest.binom, emtest.exp, emtest.norm, emtest.norm2, emtest.pois.

Examples

## see examples for function dealing with the distribution of interest