CRAN/E | ppgmmga

ppgmmga

Projection Pursuit Based on Gaussian Mixtures and Evolutionary Algorithms

Installation

About

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.

Citation ppgmmga citation info
github.com/luca-scr/ppgmmga
Bug report File report

Key Metrics

Version 1.3
R ≥ 3.4
Published 2023-11-17 133 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks ppgmmga results

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Maintainer

Maintainer

Luca Scrucca

luca.scrucca@unipg.it

Authors

Alessio Serafini

aut

Luca Scrucca

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

A quick tour of ppgmmga

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

ppgmmga archive

Depends

R ≥ 3.4

Imports

Rcpp ≥ 1.0.0
mclust ≥ 5.4
GA ≥ 3.1
ggplot2 ≥2.2.1
cli
crayon
utils
stats

Suggests

knitr ≥ 1.8
rmarkdown ≥ 2.0

LinkingTo

Rcpp
RcppArmadillo ≥ 0.7