[aut, cre],
Luca Scrucca [aut]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.
| Version: | 1.1 |
| 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) |
| Published: | 2019-06-03 |
| Author: | Alessio Serafini [aut, cre],
Luca Scrucca [aut] |
| Maintainer: | Alessio Serafini <srf.alessio at gmail.com> |
| 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: | NEWS |
| CRAN checks: | ppgmmga results |
| Reference manual: | ppgmmga.pdf |
| Vignettes: |
A quick tour of ppgmmga |
| Package source: | ppgmmga_1.1.tar.gz |
| Windows binaries: | r-devel: ppgmmga_1.1.zip, r-release: ppgmmga_1.1.zip, r-oldrel: ppgmmga_1.1.zip |
| OS X binaries: | r-release: ppgmmga_1.1.tgz, r-oldrel: ppgmmga_1.1.tgz |
| Old sources: | ppgmmga archive |
Please use the canonical form https://CRAN.R-project.org/package=ppgmmga to link to this page.