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.
flowClust, mixsmsn, EMMIXskew, EMMIXuskew, mixsmsn, EMMIXskew, EMMIXuskew, flowClust, ManlyMix, ManlyMix
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For attribution, please cite this work as
Zhu & Melnykov, "The R Journal: ManlyMix: An R Package for Manly Mixture Modeling", The R Journal, 2017
BibTeX citation
@article{RJ-2017-060,
author = {Zhu, Xuwen and Melnykov, Volodymyr},
title = {The R Journal: ManlyMix: An R Package for Manly Mixture Modeling},
journal = {The R Journal},
year = {2017},
note = {https://doi.org/10.32614/RJ-2017-060},
doi = {10.32614/RJ-2017-060},
volume = {9},
issue = {2},
issn = {2073-4859},
pages = {176-197}
}