GenAUD_MS: Generating sequential Uniform Design of Experiments using...
In UniDOE: Uniform Design of Experiments

Description Usage Arguments Value Author(s) References Examples

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

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

`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.

Best design over all shoots.

Aijun Zhang, Haoyu Li, Shijie Quan

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.

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)