Package: ppgmmga
Version: 1.0.1
Date: 2018-10-15
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.
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 (>= 0.12.5), mclust (>= 5.0), GA (>= 3.1), ggplot2 (>=
        2.2.1), ggthemes (>= 3.4.0), cli, crayon
LinkingTo: Rcpp, RcppArmadillo (>= 0.7)
Suggests: knitr (>= 1.8)
License: GPL (>= 2)
URL: https://github.com/luca-scr/ppgmmga
BugReports: https://github.com/luca-scr/ppgmmga/issues
VignetteBuilder: knitr
ByteCompile: true
Repository: CRAN
NeedsCompilation: yes
LazyLoad: yes
Encoding: UTF-8
Packaged: 2018-10-15 09:01:10 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: 2018-10-15 18:20:03 UTC
Built: R 3.4.4; x86_64-w64-mingw32; 2019-04-25 22:32:13 UTC; windows
Archs: i386, x64
