The R Journal: article published in 2017, volume 9:2

ManlyMix: An R Package for Manly Mixture Modeling
Xuwen Zhu and Volodymyr Melnykov , The R Journal (2017) 9:2, pages 176-197.

Abstract Model-based clustering is a popular technique for grouping objects based on a finite mixture model. It has countless applications in different fields of study. The R package ManlyMix implements the Manly mixture model that allows modeling skewness within data groups and performs cluster analysis. ManlyMix is a powerful diagnostics tool that is capable of conducting investigation con cerning the normality of variables upon fitting of a Manly forward or backward model. Theoretical foundations as well as description of functions are provided. All features of the package are illus trated with examples in great detail. The analysis of real-life datasets demonstrates the flexibility and usefulness of the package.

Received: 2017-02-17; online 2017-11-22
CRAN packages: flowClust, mixsmsn, EMMIXskew, EMMIXuskew, mixsmsn, EMMIXskew, EMMIXuskew, flowClust, ManlyMix, ManlyMix
CRAN Task Views implied by cited CRAN packages: Cluster

This article is licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2017-060,
  author = {Xuwen Zhu and Volodymyr Melnykov},
  title = {{ManlyMix: An R Package for Manly Mixture Modeling}},
  year = {2017},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2017-060},
  url = {https://doi.org/10.32614/RJ-2017-060},
  pages = {176--197},
  volume = {9},
  number = {2}
}