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ppgmmga: Projection Pursuit Based on Gaussian Mixtures and Evolutionary Algorithms
Projection Pursuit (PP) algorithm for dimension reduction based on Gaussian Mixture Models (GMMs) for density estimation using Genetic Algorithms (GAs) to maximise an approximated negentropy index. For more details see Scrucca and Serafini (2019) <doi:10.1080/10618600.2019.1598871>.
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Package details |
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| Author | Alessio Serafini [aut] (<https://orcid.org/0000-0002-8579-5695>), Luca Scrucca [aut, cre] (<https://orcid.org/0000-0003-3826-0484>) |
| Maintainer | Luca Scrucca <luca.scrucca@unipg.it> |
| License | GPL (>= 2) |
| Version | 1.3 |
| URL | https://github.com/luca-scr/ppgmmga |
| Package repository | View on CRAN |
| Installation |
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