Package: MixSim 1.1-8

MixSim: Simulating Data to Study Performance of Clustering Algorithms

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 non-Gaussian 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.

Authors:Volodymyr Melnykov [aut], Wei-Chen Chen [aut, cre], Ranjan Maitra [aut], Robert Davies [ctb], Stephen Moshier [ctb], Rouben Rostamian [ctb]

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MixSim.pdf |MixSim.html
MixSim/json (API)

# Install 'MixSim' in R:
install.packages('MixSim', repos = c('https://snoweye.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/snoweye/mixsim/issues

Uses libs:
  • openblas– Optimized BLAS

On CRAN:MixSim-1.1-8(2024-07-17)

openblas

4.48 score 1 stars 3 packages 84 scripts 690 downloads 4 mentions 13 exports 1 dependencies

Last updated 7 months agofrom:f4bb9f34d8. Checks:11 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 12 2025
R-4.5-win-x86_64OKFeb 12 2025
R-4.5-mac-x86_64OKFeb 12 2025
R-4.5-mac-aarch64OKFeb 12 2025
R-4.5-linux-x86_64OKFeb 12 2025
R-4.4-win-x86_64OKFeb 12 2025
R-4.4-mac-x86_64OKFeb 12 2025
R-4.4-mac-aarch64OKFeb 12 2025
R-4.3-win-x86_64OKFeb 12 2025
R-4.3-mac-x86_64OKFeb 12 2025
R-4.3-mac-aarch64OKFeb 12 2025

Exports:ClassPropMixGOMMixSimoverlapoverlapGOMpdplotpermsprint.MixGOMprint.MixSimRandIndexsimdatasetsummary.MixSimVarInf

Dependencies:MASS

Citation

To cite MixSim in publications use:

Volodymyr Melnykov, Wei-Chen Chen, Ranjan Maitra (2012). MixSim: An R Package for Simulating Data to Study Performance of Clustering Algorithms. Journal of Statistical Software, 51(12), 1-25. URL https://doi.org/10.18637/jss.v051.i12

Corresponding BibTeX entry:

  @Article{,
    title = {{MixSim}: An {R} Package for Simulating Data to Study
      Performance of Clustering Algorithms},
    author = {Volodymyr Melnykov and Wei-Chen Chen and Ranjan Maitra},
    journal = {Journal of Statistical Software},
    year = {2012},
    volume = {51},
    number = {12},
    pages = {1--25},
    url = {https://doi.org/10.18637/jss.v051.i12},
  }