Package: ppgmmga
Version: 1.2
Date: 2019-08-06
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", "cre"),
                    comment = c(ORCID = "0000-0002-8579-5695"),
                    email = "srf.alessio@gmail.com"),
             person("Luca", "Scrucca", role = c("aut"),
                    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), ggthemes (>= 3.4.0), cli, crayon, utils, stats
LinkingTo: Rcpp, RcppArmadillo (>= 0.7)
Suggests: knitr (>= 1.8)
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
LazyData: yes
Encoding: UTF-8
RoxygenNote: 6.1.1
Packaged: 2019-07-08 03:53:31 UTC; alessioserafini
Author: Alessio Serafini [aut, cre] (<https://orcid.org/0000-0002-8579-5695>),
  Luca Scrucca [aut] (<https://orcid.org/0000-0003-3826-0484>)
Maintainer: Alessio Serafini <srf.alessio@gmail.com>
Date/Publication: 2019-07-08 09:10:03 UTC
Built: R 3.6.3; x86_64-w64-mingw32; 2020-08-05 07:53:37 UTC; windows
Archs: i386, x64
