R: Projection Pursuit Based on Gaussian Mixtures and Evolutionary Algorithms

# Projection Pursuit Based on Gaussian Mixtures and Evolutionary Algorithms

## Documentation for package ‘ppgmmga’ version 1.3.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

ppgmmga-package | Projection pursuit based on Gaussian mixtures and evolutionary algorithms for data visualisation
nclass.numpy | Compute the Number of Classes for a Histogram
plot.ppgmmga | Plots the data onto the projection subspace estimated by the ppgmmga algorithm
ppgmmga | Projection pursuit based on Gaussian mixtures and evolutionary algorithms for data visualisation
ppgmmga-class | Class "ppgmmga"
ppgmmga.options | Default values for 'ppgmmga' package
print.ppgmmga | Projection pursuit based on Gaussian mixtures and evolutionary algorithms for data visualisation
print.summary.ppgmmga | Summary for projection pursuit based on Gaussian mixtures and evolutionary algorithms for data visualisation
summary.ppgmmga | Summary for projection pursuit based on Gaussian mixtures and evolutionary algorithms for data visualisation