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: | 1.0.1 |
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) |
Published: | 2018-10-15 |
Author: | Alessio Serafini |
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_1.0.1.tar.gz |
Windows binaries: | r-devel: ppgmmga_1.0.1.zip, r-release: ppgmmga_1.0.1.zip, r-oldrel: ppgmmga_1.0.1.zip |
OS X binaries: | r-release: ppgmmga_1.0.1.tgz, r-oldrel: ppgmmga_1.0.1.tgz |
Old sources: | ppgmmga archive |
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