XiaoXuMDLE | R Documentation |
Implementation of the Xiao Xu TA algorithm (experimental, for comparison with MDLEs only)
XiaoXuMDLE(
oa,
ell,
noptim.oa = 1,
nseq = 2000,
nrounds = 50,
nsteps = 3000,
dmethod = "manhattan",
p = 50
)
createF(Dc, Dp, s, ell, nseq = 2000)
optimize(
Dc,
s,
ell,
Fhat,
nrounds = 50,
nsteps = 3000,
dmethod = "manhattan",
p = 50
)
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 |
p |
p for |
Dc |
matrix |
Dp |
matrix |
s |
original number of levels |
Fhat |
distribution function (created with |
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
.
XiaoXuMDLE
returns a matrix with attribute phi_p
.
createF
returns a distribution function.
optimize
returns a matrix with attribute phi_p
.
For full detail, see SOAs-package
.
Xiao and Xu (2018)
## create 8-level columns from 4-level columns
XiaoXuMDLE(DoE.base::L16.4.5, 2, nrounds = 5, nsteps=50)
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