Projection Pursuit Based on Gaussian Mixtures and Evolutionary Algorithms.
ppgmmga
An R package accompanying the paper Projection pursuit based on Gaussian mixtures and evolutionary algorithms by Luca Scrucca and Alessio Serafini (2018).
Installation
You can install the released version of ppgmmga
from CRAN:
install.packages("ppgmmga")
or the development version from GitHub:
# install.packages("devtools")
devtools::install_github("luca-scr/ppgmmga", build = TRUE, build_opts = c("--no-resave-data", "--no-manual"))
Usage
The methodology implemented in the package is describe in the paper referenced below.
Usage of the main functions and some examples are included in the vignette A quick tour of ppgmmga, which is available as
vignette("ppgmmga")
References
Scrucca, L. and Serafini, A. (2019) Projection pursuit based on Gaussian mixtures and evolutionary algorithms. Journal of Computational and Graphical Statistics, 28:4, 847–860. DOI: 10.1080/10618600.2019.1598871 URL https://doi.org/10.1080/10618600.2019.1598871