h_model_dual_endpoint_beta: Update certain components of `DualEndpoint` model with regard to parameters of the function that models dose-biomarker relationship defined in the `DualEndpointBeta` class.

Description

A simple helper function that takes DualEndpoint object and updates use_fixed, priormodel, modelspecs, init, sample slots with regard to a given parameter of the dose-biomarker relationship \(f(x)\) defined in the DualEndpointBeta class. This update solely depends on whether a given parameter's value param is a fixed-valued scalar or two-elements numeric vector. In the later case, it is assumed that param represents two parameters of a probability distribution that will be used in priormodel function to generate values for the param_name parameter of \(f(x)\). See the help page for DualEndpointBeta class for more details.

Usage

h_model_dual_endpoint_beta(
  param,
  param_name,
  param_suffix = c("_low", "_high"),
  priormodel = NULL,
  de
)

Value

A DualEndpoint model with updated use_fixed, priormodel, modelspecs, init, sample slots.

Arguments

param: (numeric)
the value of a given param_name parameter of the dose-biomarker relationship function \(f(x)\). Either a fixed-valued scalar or vector with two elements that are the parameters of a probability distribution that will be used in priormodel function to generate values for the param_name parameter of \(f(x)\).
param_name: (string)
the name of the parameter of \(f(x)\), whose value depends on param.
param_suffix: (character)
the two suffixes to be appended to the elements of param_name and then used when updating modelspecs. The value of this argument is ignored when param is a scalar.
priormodel: (function or NULL)
a function representing the JAGS prior specification that will be appended to existing de@priormodel specification if param is not a scalar. Otherwise, de@priormodel remains unchanged.
de: (DualEnpoint)
dual endpoint model whose slots will be updated.