MixSim-package {MixSim} | R Documentation |
Simulation of Gaussian finite mixture models for prespecified levels of average or/and maximum overlap. Pairwise overlap is defined as the sum of two misclassification probabilities
Package: | MixSim |
Type: | Package |
Version: | 1.0 |
Date: | 2009-04-20 |
License: | GPL (>= 2) |
LazyLoad: | no |
Function 'MixSim' simulates a finite mixture model for a prespecified level of average or/and maximum overlap.
Function 'overlap' computes all misclassification probabilities for a finite mixture model.
Function 'pdplot' constructs a parallel distribution plot for a finite mixture model.
Function 'simdataset' simulates a dataset from a finite mixture model.
Volodymyr Melnykov, Wei-Chen Chen, Ranjan Maitra
Maintainer: Volodymyr Melnykov <volmeln@iastate.edu>
Maitra, R. and Melnykov, V. (200?) "Simulating data to study performance of finite mixture modeling and clustering algorithms", The Journal of Computational and Graphical Statistics.
Davies, R. (1980) "The distribution of a linear combination of chi-square random variables", Applied Statistics, 29, 323-333.
# Simulate parameters of a mixture model A <- MixSim(BarOmega = 0.01, MaxOmega = 0.10, K = 10, p = 5) # Display the mixture via the parallel distribution plot pdplot(A$Pi, A$Mu, A$S, MaxInt = 0.5)