SLHD (2.1-1)

0 users

Maximin-Distance (Sliced) Latin Hypercube Designs.

Generate the optimal Latin Hypercube Designs (LHDs) for computer experiments with quantitative factors and the optimal Sliced Latin Hypercube Designs (SLHDs) for computer experiments with both quantitative and qualitative factors. Details of the algorithm can be found in Ba, S., Brenneman, W. A. and Myers, W. R. (2015), "Optimal Sliced Latin Hypercube Designs," Technometrics. Important function in this package is "maximinSLHD".

Maintainer: Shan Ba
Author(s): Shan Ba

License: LGPL-2.1

Uses: Does not use any package

Released over 4 years ago.

2 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of SLHD yet. Want to be the first? Write one now.

Related packages: AlgDesign, BHH2, BsMD, GroupSeq, SensoMineR, agricolae, blockTools,, crossdes, desirability, experiment, granova, lhs, qtlDesign, tgp, FrF2, PwrGSD, dfcrm, DoE.base, EngrExpt(20 best matches, based on common tags.)

Search for SLHD on google, google scholar, r-help, r-devel.

Visit SLHD on R Graphical Manual.