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>.

Package details

AuthorAlessio Serafini [aut, cre] (<https://orcid.org/0000-0002-8579-5695>), Luca Scrucca [aut] (<https://orcid.org/0000-0003-3826-0484>)
MaintainerAlessio Serafini <[email protected]>
LicenseGPL (>= 2)
Version1.2
URL https://github.com/luca-scr/ppgmmga
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ppgmmga")

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ppgmmga documentation built on July 8, 2019, 5:03 p.m.