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mixComp (version 0.1-2)

Estimation of Order of Mixture Distributions

Description

Methods for estimating the order of a mixture model. The approaches considered are based on the following papers (extensive 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. . 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. . A number of datasets are included. 1. accidents, from 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. . 2. acidity, from Sybil L. Crawford, Morris H. DeGroot, Joseph B. Kadane & Mitchell J. Small (1992) Modeling Lake-Chemistry Distributions: Approximate Bayesian Methods for Estimating a Finite-Mixture Model, Technometrics, 34:4, 441-453. . 3. children, from Thisted, R. A. (1988). Elements of statistical computing: Numerical computation (Vol. 1). CRC Press. 4. faithful, from R package "datasets"; Azzalini, A. and Bowman, A. W. (1990). A look at some data on the Old Faithful geyser. Applied Statistics, 39, 357--365. . 5. shakespeare, from Efron, Bradley, and Ronald Thisted. "Estimating the number of unseen species: How many words did Shakespeare know?." Biometrika 63.3 (1976): 435-447. .

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Version

Install

install.packages('mixComp')

Monthly Downloads

40

Version

0.1-2

License

GPL-3

Maintainer

Yulia Kulagina

Last Published

February 25th, 2021

Functions in mixComp (0.1-2)

faithful

Faithful Dataset
rMix

Random Variate Generation from a Mixture Distribution
paramHankel

Estimation of Mixture Complexity (and Component Weights/Parameters) Based on Hankel Matrix Approach
dMix

Mixture density
hellinger.cont

Estimation of a Continuous Mixture Complexity Based on Hellinger Distance
shakespeare

Shakespeare Dataset
RtoDat

Converting rMix to datMix Objects
nonparamHankel

Estimation of Mixture Complexity Based on Hankel Matrix
accidents

Accidents Dataset
plot.rMix

plot.Mix

datMix

Constructor for Objects for Which to Estimate the Mixture Complexity
hellinger.disc

Estimation of a Discrete Mixture Complexity Based on Hellinger Distance
mix.lrt

Estimation of a Mixture Complexity Based on Likelihood Ratio Test Statistics
children

Children Dataset
Mix

Mixtures of Univariate Distributions
L2.disc

Estimate a Discrete Mixture's Complexity Based on L2 Distance
acidity

Acidity Dataset