AsymmetricSORDs (version 1.0.0)

Pred.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 second-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

Pred.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 second-order model It gives unique prediction variance along with its frequencies.

References

1) G.E.P. Box and K.B. Wilson (1951).' On the experimental attainment of optimum conditions'.

2) 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 {
 
# }
# NOT RUN {
library(AsymmetricSORDs)
Pred.var(matrix)
# }