The utility of this package is in simulating mixtures of Gaussian distributions with different levels of overlap between mixture components. Pairwise overlap, defined as a sum of two misclassification probabilities, measures the degree of interaction between components and can be readily employed to control the clustering complexity of datasets simulated from mixtures. These datasets can then be used for systematic performance investigation of clustering and finite mixture modeling algorithms. Among other capabilities of 'MixSim', there are computing the exact overlap for Gaussian mixtures, simulating Gaussian and nonGaussian data, simulating outliers and noise variables, calculating various measures of agreement between two partitionings, and constructing parallel distribution plots for the graphical display of finite mixture models.
Package details 


Author  Volodymyr Melnykov [aut], WeiChen Chen [aut, cre], Ranjan Maitra [aut], Robert Davies [ctb] (quadratic form probabilities), Stephen Moshier [ctb] (eigenvalue calculations), Rouben Rostamian [ctb] (memory allocation) 
Date of publication  20170429 17:05:22 UTC 
Maintainer  WeiChen Chen <[email protected]> 
License  GPL (>= 2) 
Version  1.13 
Package repository  View on CRAN 
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