| Design Characteristics | | |
|
Number of design points | GENERATE | N=number |
| Saturated design | GENERATE | N=SATURATED |
| Augmented design | GENERATE | AUGMENT=SAS-data-set |
| Bayesian optimal design | MODEL | / PRIOR=p1,p2, ... |
| | | |
| Optimality Criteria | | |
|
Minimize trace of (X'X)-1 | GENERATE | CRITERION=A |
| Maximize |X'X| | GENERATE | CRITERION=D |
| Minimize mean minimum | GENERATE | CRITERION=U |
| distance to design | | |
| Maximize mean distance | GENERATE | CRITERION=S |
| between nearest design points | | |
| | | |
| Model Specification | | |
|
Specify independent effects | MODEL | effects |
| Exclude intercept term | MODEL | effects NOINT |
| Specify class variables | CLASS | variables |
| Static coding | PROC OPTEX | CODING=STATIC |
| Orthogonal coding | PROC OPTEX | CODING=ORTH |
| Orthogonal coding with | PROC OPTEX | CODING=ORTHCAN |
| respect to candidates only | | |
| Suppress coding of effects | PROC OPTEX | NOCODE |
| | | |
| Block Specification | | |
|
Specify general covariance | BLOCKS | COVAR=SAS-data-set
<options> |
| matrix for runs | | VAR=variables |
| Specify general covariate model | BLOCKS | DESIGN=SAS-data-set
<options> |
| Specify b blocks of size k | BLOCKS | STRUCTURE=(b)k
<options> |
| Options for block specifications | | |
| Repeat the search n times | | ITER=n |
| Retain best m searches | | KEEP=m |
| Select initial design at random | | INIT=RANDOM |
| Select initial design in order | | INIT=CHAIN |
| | | |
| Initial Design Characteristics | | |
| Random and sequential methods | GENERATE | INITDESIGN=PARTIAL<(m)> |
| Random initial design | GENERATE | INITDESIGN=RANDOM |
| Sequential initial design | GENERATE | INITDESIGN=SEQUENTIAL |
| Specify initial design | GENERATE | INITDESIGN=SAS-data-set |
| | | |