ModelRobust: Model Robust Factorial Designs

In daewr: Design and Analysis of Experiments with R

Model Robust Factorial Designs

Description

Recalls Li and Nachtsheim's model robust factorial designs from a catalog of data frames

Usage

ModelRobust(des, randomize=FALSE)

Arguments

des	input- a character variable containing the name of a design in the catalog. If left blank, the function prints a table showing all the design names in the catalog
randomize	input- a logical

Value

design

Author(s)

John Lawson

References

Li, W. and Nachtsheim, C. J. (2000) "Model Robust factorial Designs", Technometrics, Vol 42, No. 4, pp345-352, 2000.

daewr documentation built on Sept. 9, 2023, 9:06 a.m.