Update DualEndpoint class model components with regard to DLT and biomarker correlation.

A simple helper function that takes DualEndpoint model existing components (priormodel, modelspecs, init, sample), and updates them with regard to DLT and biomarker correlation rho.

Usage

h_model_dual_endpoint_rho(use_fixed, rho, comp)

Arguments

use_fixed

(flag)
indicates whether a fixed value for DLT and biomarker correlation rho should be used or not. If rho is not supposed to be a fixed value, a prior distribution from the scaled Beta family will be used. See the details below, under rho argument.

rho

(numeric)
DLT and biomarker correlation. It must be either a fixed value (between -1 and 1), or a named vector with two elements, named a and b for the Beta prior on the transformation kappa = (rho + 1) / 2, which is in (0, 1). For example, a = 1, b = 1 leads to a uniform prior on rho.

comp

(list)
a named list with model components that will be updated. The names should be: priormodel, modelspecs, init, sample. For definitions of the components, see GeneralModel class. The modelspecs and init components on comp list are specified up to the body of corresponding GeneralModel@modelspecs and GeneralModel@init functions. These bodies are simply a lists itself.

Value

A list with updated model components.