REPPlab-package: R Interface to the Java Program 'EPP-lab' v1.0

Description Details Author(s) References


An interface that gives access to the Java program 'EPP-lab' which implements several biologically inspired optimisation algorithms and several indices for Exploratory Projection Pursuit (PP). The objective of optimizing PP indices and projecting the data on the associated one-dimensional directions is to detect hidden structures such as clusters or outliers in (possibly high dimensional) data sets. The 'EPP-lab' sources and jar-files are available under For a detailed description of 'EPP-lab', see Larabi (2011).


Package: REPPlab
Type: Package
Version: 0.9.4
Date: 2016-08-23
License: GPL
LazyLoad: yes


Daniel Fischer, Alain Berro, Klaus Nordhausen, Anne Ruiz-Gazen

Maintainer: Daniel Fischer <>


Larabi Marie-Sainte, S., (2011), Biologically inspired algorithms for exploratory projection pursuit, PhD thesis, University of Toulouse.

Ruiz-Gazen, A., Larabi Marie-Sainte, S. and Berro, A. (2010), Detecting multivariate outliers using projection pursuit with particle swarm optimization, COMPSTAT2010, pp. 89-98.

Berro, A., Larabi Marie-Sainte, S. and Ruiz-Gazen, A. (2010). Genetic algorithms and particle swarm optimization for exploratory projection pursuit. Annals of Mathematics and Artifcial Intelligence, 60, 153-178.

Larabi Marie-Sainte, S., Berro, A. and Ruiz-Gazen, A. (2010). An effcient optimization method for revealing local optima of projection pursuit indices. Swarm Intelligence, pp. 60-71.

REPPlab documentation built on May 2, 2019, 8:58 a.m.