Construction of Screening Designs for Mixed Level Continuous and Categorical Factors

[Up] [Top]

Documentation for package ‘SCCDdesign’ version 0.2.0

Help Pages

conferenceMatrix Constructs a conference matrix of a specified order using a direct construction for order 2 and Paley-based constructions for supported odd prime or prime-power values of q = n - 1.
dOptimalTwoLevel Constructs a D-optimal two-level design with 'm' runs and 'm - 1' factors. The factor levels are coded as -1 and +1.
hadamardMatrix Constructs a Hadamard matrix of order 'n' using 'pracma::hadamard()'.
mixed_level_design Constructs an orthogonal design for two types of factors with different numbers of levels. Three construction cases are considered: even-even level factors, odd-even level factors and odd-odd level factors. The appropriate construction is selected automatically according to the parity of the numbers of levels of the two factors. Hadamard matrices are used for even-level factors, while conference matrices are used for odd-level factors. The order of both the Hadamard and conference matrices is 'm'. For the even-even case, the design contains 'm - 1' factors of each type. For the odd-even case, the design contains 'm' odd-level factors and 'm - 1' even-level factors. For the odd-odd case, the design contains 'm' factors of each type.
pseudoConference Constructs a pseudo-conference matrix of order 'n' using a determinant-based search procedure.
SCCD Constructs an SCCD for a specified number of runs (n=2m). The construction method is selected automatically according to the number of runs.
simulation Performs a simulation study to evaluate the ability of a design to identify active main effects using best-subsets regression and the AICc criterion.