XiaoXuMDLE {SOAs} | R Documentation |
Implementation of the Xiao Xu TA algorithm (experimental, for comparison with MDLEs only)
Description
Implementation of the Xiao Xu TA algorithm (experimental, for comparison with MDLEs only)
Usage
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
)
Arguments
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 |
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
.
Value
XiaoXuMDLE
returns a matrix with attribute phi_p
.
createF
returns a distribution function.
optimize
returns a matrix with attribute phi_p
.
References
For full detail, see SOAs-package
.
Xiao and Xu (2018)
Examples
## create 8-level columns from 4-level columns
XiaoXuMDLE(DoE.base::L16.4.5, 2, nrounds = 5, nsteps=50)