bbd.design
and central composite designs by Box and Wilson (ccd.design) are implemented.
For the latter, there is also a function for augmenting 2-level fractional factorials
into central composite designs (ccd.design).
Furthermore, latin hypercube samples and other designs for computer experiments
from packages lhs and DiceDesign are provided.
Furthermore, D-optimal designs have been implemented,
using package AlgDesign. This implementation is currently in beta shape.
All designs created by this package are class design objects,
which are data frames with attributes.
Apart from providing designs, the package also provides functions for comparing
the quality of several designs with quantitative variables (function compare).
Box, G.E.P., Hunter, J.S. and Hunter, W.G. (2005, 2nd ed.). Statistics for Experimenters. Wiley, New York. Box, G.E.P. and Wilson, K.B. (1951). On the Experimental Attainment of Optimum Conditions. J. Royal Statistical Society, B13, 1-45. NIST/SEMATECH e-Handbook of Statistical Methods, http://www.itl.nist.gov/div898/handbook/pri/section3/pri3361.htm, accessed August 20th, 2009. Myers, R.H., Montgomery, D.C. and Anderson-Cook, C.M. (2009). Response Surface Methodology. Process and Product Optimization Using Designed Experiments. Wiley, New York.
ccd.design, ccd.augment, bbd.design, lhs.design,
Dopt.design, Dopt.augment,
lhs-package, rsm, optFederov,
optBlock, compare, FrF2