simulation: Performs a simulation study to evaluate the ability of a...

In SCCDdesign: Construction of Screening Designs for Mixed Level Continuous and Categorical Factors

Performs a simulation study to evaluate the ability of a design to identify active main effects using best-subsets regression and the AICc criterion.

Description

Performs a simulation study to evaluate the ability of a design to identify active main effects using best-subsets regression and the AICc criterion.

Usage

simulation(X, SNR, n.active, nrep = 1000)

Arguments

X	A design matrix containing the mixed-level factors.
SNR	A numeric value specifying the signal-to-noise ratio.
n.active	An integer specifying the number of active factors.
nrep	An integer specifying the number of simulation replications. Default is 1000.

Value

A data frame containing the SNR, number of active factors, power, and Type I error rate.

Examples

## Not run: 
X <- matrix(rnorm(20 * 5), nrow = 20, ncol = 5)
simulation(X, SNR = 1, n.active = 2, nrep = 100)

## End(Not run)

SCCDdesign documentation built on Sept. 21, 2026, 5:08 p.m.