Contains space filling based tools for machine learning and data mining. Some functions offer several computational techniques and deal with the out of memory for large big data by using the ff package.
M. Laib and M. Kanevski (2017). Unsupervised Feature Selection Based on Space Filling Concept, arXiv:1706.08894.
J. A. Royle, D. Nychka, An algorithm for the construction of spatial coverage designs with implementation in Splus, Computers and Geosciences 24 (1997) p. 479<U+2013>488.
J. Franco, Planification d<U+2019>exp<U+00E9>riences num<U+00E9>riques en phase exploratoire pour la simulation des ph<U+00E9>nom<U+00E8>nes complexes, Thesis (2008) 282.
D. Dupuy, C. Helbert, J. Franco (2015). DiceDesign and DiceEval: Two R Packages for Design and Analysis of Computer Experiments. Journal of Statistical Software, 65(11), 1-38. Jstatsoft.
Useful links: