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This R package provides a class that generates experiment sFFLHD designs. Sequential full factorial-based Latin hypercube design were created by Duan, Ankenman, Sanchez, and Sanchez (2015, Technometrics).

To create a new design you use the function sFFLHD$new and must give in the number of dimensions, D, and the batch size/number of levels per factor, L. An example is shown below (the last line can be repeated when run in console to see how new batches are added).

#> Loading required package: DoE.base
#> Loading required package: grid
#> Loading required package: conf.design
#> Attaching package: 'DoE.base'
#> The following objects are masked from 'package:stats':
#>     aov, lm
#> The following object is masked from 'package:graphics':
#>     plot.design
#> The following object is masked from 'package:base':
#>     lengths
s <- sFFLHD$new(D=2,L=3)

By default the new points are selected using maximin distance optimization to spread them out. This is why points will end up near corners. This option will slow down the code a little but generally not noticeably compared to what the design is used for. If set to FALSE then the points are randomly placed within their small grid box.