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Update DualEndpoint class model components with regard to biomarker regression variance.

Source: R/helpers_model.R
h_model_dual_endpoint_sigma2w.Rd

[Stable]

A simple helper function that takes DualEndpoint model existing components (priormodel, modelspecs, init, sample), and updates them with regard to to biomarker regression variance sigma2W.

Usage 

h_model_dual_endpoint_sigma2w(use_fixed, sigma2W, comp)

Arguments

use_fixed

(flag)
indicates whether a fixed value for the biomarker regression variance sigma2W should be used or not. If sigma2W is not supposed to be a fixed value, a prior distribution from the Inverse-Gamma distribution will be used. See the details below, under sigma2W argument.

sigma2W

(numeric)
the biomarker variance. Either a fixed value or Inverse-Gamma distribution parameters, i.e. vector with two elements named a and b.

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

list with updated model components.