xmat_discrete_self: Generate GLM random initial designs within ForLion algorithm

In ForLion: 'ForLion' Algorithm to Find D-Optimal Designs for Experiments

Generate GLM random initial designs within ForLion algorithm

Description

Generate GLM random initial designs within ForLion algorithm

Usage

xmat_discrete_self(xlist, rowmax = NULL)

Arguments

xlist	a list of factor levels within ForLion algorithm, for example, a binary factor might be c(-1,1), a continuous factor within range of (25,45) will be c(25, 45).
rowmax	maximum number of rows of the design matrix

Value

design matrix of all possible combinations of discrete factors levels with min and max of the continuous factors.

Examples

#define list of factor levels for one continuous factor, four binary factors
factor.level.temp = list(c(25,45),c(-1,1),c(-1,1),c(-1,1),c(-1,1))
xmat_discrete_self(xlist = factor.level.temp)

ForLion documentation built on April 11, 2025, 5:38 p.m.