ppgmmga: Projection Pursuit Based on Gaussian Mixtures and Evolutionary Algorithms
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: | 1.3.1 |
| 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) |
| Published: | 2025-09-12 |
| DOI: | 10.32614/CRAN.package.ppgmmga |
| Author: | Alessio Serafini 
[aut],
Luca Scrucca
[aut, cre] |
| Maintainer: | Luca Scrucca <luca.scrucca at unibo.it> |
| 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 |
Documentation:
| Reference manual: | ppgmmga.html , ppgmmga.pdf |
| Vignettes: |
A quick tour of ppgmmga (source, R code) |
Downloads:
| Package source: | ppgmmga_1.3.1.tar.gz |
| Windows binaries: | r-devel: ppgmmga_1.3.1.zip, r-release: ppgmmga_1.3.1.zip, r-oldrel: ppgmmga_1.3.1.zip |
| macOS binaries: | r-release (arm64): ppgmmga_1.3.1.tgz, r-oldrel (arm64): ppgmmga_1.3.1.tgz, r-release (x86_64): ppgmmga_1.3.1.tgz, r-oldrel (x86_64): ppgmmga_1.3.1.tgz |
| Old sources: | ppgmmga archive |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=ppgmmga to link to this page.