TORDs (version 1.0.0)

Pred3.var: Function for generating the moment matrix and variance of the predicted response

Description

This function generates the moment matrix and variance of the predicted response for a given design based on a third-order model, for measuring the rotatability of the design. The input should be the specified form of a design matrix with the coefficients of the corresponding input factors. A minimum number of centre points is to be used to ensure the non-singularity of X`X.

Usage

Pred3.var(matrix)

Arguments

matrix

Design matrix with the coefficients of the corresponding input factors

Value

The moment matrix and the prediction variance for a given design based on a third-order model It gives unique prediction variance along with its frequencies.

References

M. Hemavathi, Shashi Shekhar, Eldho Varghese, Seema Jaggi, Bikas Sinha & Nripes Kumar Mandal (2022)<DOI:10.1080/03610926.2021.1944213>." Theoretical developments in response surface designs: an informative review and further thoughts".

Examples

# NOT RUN {
library(TORDs)
library(TORDs)
Pred3.var(matrix)
# }