function to generate a initial EW Design for generalized linear models
EW_design_initial_GLM(
k.continuous,
factor.level,
Integral_based,
b_matrix,
joint_Func_b,
Lowerbounds,
Upperbounds,
xlist_fix = NULL,
lvec,
uvec,
h.func,
link = "continuation",
delta0 = 1e-06,
epsilon = 1e-12,
maxit = 1000
)X matrix of initial design point
p0 initial random approximate allocation
f.det the determinant of the expected Fisher information matrix for the initial design
number of continuous variables
list of distinct factor levels, “(min, max)” for continuous factors that always come first, finite sets for discrete factors.
TRUE or FALSE, whether or not integral-based EW D-optimality is used, FALSE indicates sample-based EW D-optimality is used.
matrix of bootstrapped or simulated parameter values.
prior distribution function of model parameters
vector of lower ends of ranges of prior distribution for model parameters.
vector of upper ends of ranges of prior distribution for model parameters.
list of discrete factor experimental settings under consideration, default NULL indicating a list of all possible discrete factor experimental settings will be used.
lower limit of continuous variables
upper limit of continuous variables
function, is used to transfer the design point to model matrix (e.g. add interaction term, add intercept)
link function, default "continuation", other options "baseline", "adjacent" and "cumulative"
tuning parameter, the distance threshold, || x_i(0) - x_j(0) || >= delta0
determining f.det > 0 numerically, f.det <= epsilon will be considered as f.det <= 0
maximum number of iterations