UniDOE (version 1.0.2)

GenAUD_MS: Generating sequential Uniform Design of Experiments using diffrent initial designs

Description

This function takes n,s,q and other arguments to output a list(described below).

Usage

GenAUD_MS(X0, n, crit, maxiter, nshoot, vis=FALSE)

Arguments

X0

an integer matrix R object. Fixed design to be used.

n

an integer R object. Number of rows to be added to design

crit

an character R object. Type of criterion to use.

"maximin" -- maximin Discrepancy ;

"CD2" -- Centered L2 Discrepancy ;

"WD2" -- Wrap-around L2 Discrepancy;

"MD2" -- Mixture L2 Discrepancy ;

maxiter

a positive integer R object. Maximum iteration number in outer while loop of SATA algorithm in each shoot.

nshoot

Total counts to try different initial designs.

vis

an boolean R object. If true, plot the criterion value sequence for all shoots.

Value

Best design over all shoots.

References

Zhang, A. and Li, H. (2017). UniDOE: An R package for constructing uniform design of experiments via stochastic and adaptive threshold accepting algorithm. Technical Report.

Examples

# NOT RUN {
D1 = DesignQuery(n = 18, s = 7, q = 3, crit = "MD2")
D2 = GenAUD_MS(X0=D1+1, n=18, crit="MD2",
               maxiter = 100, nshoot = 5,
               vis = TRUE)
# }