eval.design {AlgDesign}  R Documentation 
A design is evaluated.
eval.design(frml,design,confounding=FALSE,variances=TRUE,center=FALSE,X=NULL)
frml 
The formula used to create the design. 
design 
The design, which may be the design part of the output of optFederov(). 
confounding 
If confounding=TRUE, the confounding patterns will be shown. 
variances 
If TRUE, the variances each term will be output. 
center 
If TRUE, numeric variables will be centered before frml is applied. 
X 
X is either the matrix describing the prediction space for I or for G, the the candidate set from which the design was chosen. They are often the same. 
confounding 
A matrix. The columns of which give the regression coefficients of
each variable regressed on the others. If 
determinant 

A 
The average coefficient variance: 
I 
The average prediction variance over X, which can be shown to be

Ge 
The minimax normalized variance over X, expressed as an efficiency with respect
to the optimal approximate theory design. It is defined as 
Dea 
A lower bound on 
diagonality 
The diagonality of the design, excluding the constant, if any. Diagonality
is defined as 
gmean.variances 
The geometric mean of the coefficient variances. 
I, Ge and Dea are calculated only when X is input.
Bob Wheeler bwheelerg@gmail.com
Please cite this program as follows:
Wheeler, R.E. (2004). eval.design. AlgDesign. The R project for statistical computing https://www.rproject.org/