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 [issues need fixing before 2025-09-03]RetroSearch is an open source project built by @garambo | Open a GitHub Issue
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