mnl_get_opt_crit_value: Computes optimality criterion value using the MNL model

In mariobecerra/opdesmixr: Optimal experimental designs for mixture models

Description

Computes optimality criterion value for a design array X and beta parameter.

Usage

mnl_get_opt_crit_value(X, beta, order, opt_crit = "D", transform_beta = T)

Arguments

X	3 dimensional array of size (q, J, S) where: q is the number of ingredient proportions, J is the number of alternatives within a choice set, S is the number of choice sets.
beta	numeric vector containing the parameters or numeric matrix containing draws of the prior distribution of the parameters.
order	integer corresponding to a Scheffé model order (1, 2, 3).
opt_crit	optimality criterion: 0 or "D" is D-optimality; while 1 or "I" is I-optimality.
transform_beta	boolean parameter. Should the beta vector/matrix be transformed by subtracting the q-th element?

Value

Returns the value of the optimality criterion for this particular design and this beta vector

mariobecerra/opdesmixr documentation built on Aug. 13, 2021, 9:44 p.m.