dOptimalTwoLevel: Constructs a D-optimal two-level design with 'm' runs and 'm...
In SCCDdesign: Construction of Screening Designs for Mixed Level Continuous and Categorical Factors
dOptimalTwoLevel R Documentation
Constructs a D-optimal two-level design with m runs
and m - 1 factors. The factor levels are coded as
-1 and +1.
Description
Constructs a D-optimal two-level design with m runs
and m - 1 factors. The factor levels are coded as
-1 and +1.
Usage
dOptimalTwoLevel(m)
Arguments
m
A positive integer specifying the number of runs.
The minimum value is 3.
Details
The candidate set is generated using all possible combinations
of -1 and +1 for the factors. The D-optimal design is selected
using AlgDesign::optFederov().
Value
A numeric matrix containing the D-optimal two-level
design.
Examples
dOptimalTwoLevel(4)
dOptimalTwoLevel(8)
SCCDdesign documentation built on Sept. 21, 2026, 5:08 p.m.
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| dOptimalTwoLevel | R Documentation |
Constructs a D-optimal two-level design with m runs
and m - 1 factors. The factor levels are coded as
-1 and +1.
Description
Constructs a D-optimal two-level design with m runs
and m - 1 factors. The factor levels are coded as
-1 and +1.
Usage
dOptimalTwoLevel(m)
Arguments
m |
A positive integer specifying the number of runs. The minimum value is 3. |
Details
The candidate set is generated using all possible combinations
of -1 and +1 for the factors. The D-optimal design is selected
using AlgDesign::optFederov().
Value
A numeric matrix containing the D-optimal two-level design.
Examples
dOptimalTwoLevel(4)
dOptimalTwoLevel(8)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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