Estimation of the Order of Mixture Distributions

Methods for estimating the order of a mixture model. The approaches considered are based on the following papers (the extended list of references is available in the vignette): 1. Dacunha-Castelle, Didier, and Elisabeth Gassiat. The estimation of the order of a mixture model. Bernoulli 3, no. 3 (1997): 279-299. < https://projecteuclid.org/download/pdf_1/euclid.bj/1177334456>. 2. Woo, Mi-Ja, and T. N. Sriram. Robust estimation of mixture complexity. Journal of the American Statistical Association 101, no. 476 (2006): 1475-1486. . 3. Woo, Mi-Ja, and T. N. Sriram. Robust estimation of mixture complexity for count data. Computational statistics & data analysis 51, no. 9 (2007): 4379-4392. . 4. Umashanger, T., and T. N. Sriram. L2E estimation of mixture complexity for count data. Computational statistics & data analysis 53, no. 12 (2009): 4243-4254. . 5. Karlis, Dimitris, and Evdokia Xekalaki. On testing for the number of components in a mixed Poisson model. Annals of the Institute of Statistical Mathematics 51, no. 1 (1999): 149-162. . 6. Cutler, Adele, and Olga I. Cordero-Brana. Minimum Hellinger Distance Estimation for Finite Mixture Models. Journal of the American Statistical Association 91, no. 436 (1996): 1716-1723. .


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install.packages("mixComp")

0.1-1 by Yulia Kulagina, 2 months ago


Browse source code at https://github.com/cran/mixComp


Authors: Anja Weigel [aut] , Yulia Kulagina [aut, cre] , Fadoua Balabdaoui [aut, ths] , Lilian Mueller [ctb] , Martin Maechler [ctb] (package 'nor1mix' as model ,


Documentation:   PDF Manual  


GPL-3 license


Imports cluster, boot, expm, matrixcalc, Rsolnp, kdensity

Suggests knitr, rmarkdown


See at CRAN