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) 
Maintainer  WeiChen Chen <wccsnow@gmail.com> 
License  GPL (>= 2) 
Version  1.13 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.