[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. For more details see Scrucca and Serafini (2019) <doi:10.1080/10618600.2019.1598871>.
| Version: | 1.2 |
| 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: | 2019-07-08 |
| 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: | README NEWS |
| CRAN checks: | ppgmmga results |
| Reference manual: | ppgmmga.pdf |
| Vignettes: |
A quick tour of ppgmmga |
| Package source: | ppgmmga_1.2.tar.gz |
| Windows binaries: | r-devel: ppgmmga_1.2.zip, r-release: ppgmmga_1.2.zip, r-oldrel: ppgmmga_1.2.zip |
| macOS binaries: | r-release: ppgmmga_1.2.tgz, r-oldrel: ppgmmga_1.2.tgz |
| Old sources: | ppgmmga archive |
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