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>.
Version: 1.3 Depends: R (≥ 3.4) Imports: Rcpp (≥ 1.0.0), mclust (≥ 5.4), GA (≥ 3.1), ggplot2 (≥ 2.2.1), cli, crayon, utils, stats LinkingTo: Rcpp, RcppArmadillo (≥ 0.7) Suggests: knitr (≥ 1.8), rmarkdown (≥ 2.0) Published: 2023-11-17 DOI: 10.32614/CRAN.package.ppgmmga Author: Alessio Serafini [aut], Luca Scrucca [aut, cre] Maintainer: Luca Scrucca <luca.scrucca at unipg.it> BugReports: https://github.com/luca-scr/ppgmmga/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/luca-scr/ppgmmga NeedsCompilation: yes Citation: ppgmmga citation info Materials: README NEWS CRAN checks: ppgmmga results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=ppgmmga to link to this page.
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