Package: ppgmmga
Version: 1.3
Date: 2023-11-17
Title: Projection Pursuit Based on Gaussian Mixtures and Evolutionary
        Algorithms
Description: 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>.
Authors@R: c(person("Alessio", "Serafini", role = c("aut"),
                    comment = c(ORCID = "0000-0002-8579-5695"),
                    email = "srf.alessio@gmail.com"),
             person("Luca", "Scrucca", role = c("aut", "cre"),
                    comment = c(ORCID = "0000-0003-3826-0484"),
                    email = "luca.scrucca@unipg.it"))
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)
VignetteBuilder: knitr
License: GPL (>= 2)
Repository: CRAN
URL: https://github.com/luca-scr/ppgmmga
BugReports: https://github.com/luca-scr/ppgmmga/issues
ByteCompile: true
NeedsCompilation: yes
Encoding: UTF-8
RoxygenNote: 6.1.1
Packaged: 2023-11-17 16:56:24 UTC; luca
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>
Date/Publication: 2023-11-17 22:40:08 UTC
Built: R 4.6.0; aarch64-apple-darwin20; 2025-07-18 08:28:49 UTC; unix
Archs: ppgmmga.so.dSYM
