oa: matrix or data.frame that contains an ingoing symmetric OA. Levels must be denoted as 0 to s-1 or as 1 to s.
ell: the multiplier for each number of levels
noptim.oa: integer: number of optimization rounds applied to initial oa itself before starting expansion
nseq: tuning parameters for TA algorithm
nrounds: tuning parameters for TA algorithm
nsteps: tuning parameters for TA algorithm
dmethod: distance method for phi_p, "manhattan" (default) or "euclidean"
p: p for phi_p (the larger, the closer to maximin distance)
Dc: matrix
Dp: matrix
s: original number of levels
Fhat: distribution function (created with createF)
Returns
XiaoXuMDLE returns a matrix with attribute phi_p.
createF returns a distribution function.
optimize returns a matrix with attribute phi_p.
Details
The ingoing oa is optimized by function phi_optimize, using noptim.rounds=noptim.oa; this yields the matrix Dp for use in the internal functions DcFromDp and createF.
Function XiaoXuMDLE returns the value that is produced by applying the internal function optimize
to the resulting Dc and F.
Examples
## create 8-level columns from 4-level columnsXiaoXuMDLE(DoE.base::L16.4.5,2, nrounds =5, nsteps=50)