The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
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: | 2023-11-17 |
DOI: | 10.32614/CRAN.package.ppgmmga |
Author: | Alessio Serafini |
Maintainer: | Luca Scrucca <luca.scrucca at unipg.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 |
Reference manual: | ppgmmga.pdf |
Vignettes: |
A quick tour of ppgmmga |
Package source: | ppgmmga_1.3.tar.gz |
Windows binaries: | r-devel: ppgmmga_1.3.zip, r-release: ppgmmga_1.3.zip, r-oldrel: ppgmmga_1.3.zip |
macOS binaries: | r-release (arm64): ppgmmga_1.3.tgz, r-oldrel (arm64): ppgmmga_1.3.tgz, r-release (x86_64): ppgmmga_1.3.tgz, r-oldrel (x86_64): ppgmmga_1.3.tgz |
Old sources: | ppgmmga archive |
Please use the canonical form https://CRAN.R-project.org/package=ppgmmga to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.