Objective {DiGGer} | R Documentation |
Construct a DiGGer Objective
for use in a DiGGer search.
Objective(weight = 1, linearCovariate = "NONE", numberOfBlocks = 0, blocks = NULL, corr = Correlation())
weight |
The |
linearCovariate |
Code for the linear covariate to include in the objective: "NONE", "ROWS", "COLUMNS" or "BOTH". |
numberOfBlocks |
Number of block factors in the
|
blocks |
List of |
corr |
A |
A DiGGer Objective()
creates a covariance between experimental
units which is used to calculate the efficiency of the design using an
A-measure criterion. The efficiency measure is scaled by the
weight
parameter and may be summed with efficiency measures of
other objectives.
A DiGGer Objective
may include fixed covariates based on row or
column number and fixed block effects. Random components will include
a component for variability between experimental units which may have
separable correlation processes, auto-regressive "AR" or moving
average "MA" between rows and columns. Random blocks may also be
present.
.weight |
weight used to scale the A-measure associated with this objective. |
.lincov |
Code for the linear covariates, "NONE", "ROWS", "COLUMNS" or "BOTH". |
.nblk |
Number of block factors. |
.blk |
List of |
.corri |
A |
Neil Coombes