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set_prior_tpr_BrS_NoNest is for for conditional independence models. We currently also use it for conditional dependence model: subclass TPRs are independently assigned a beta prior. Ongoing work will enable specifying priors for the marginal TPR, i.e. TPRs for a disease class, not for the finer subclass.

Usage

set_prior_tpr_BrS_NoNest(slice, model_options, data_nplcm)

Arguments

slice

The BrS measurement slice under consideration.

model_options

See nplcm() function.

data_nplcm

See assign_model() function.

Value

Parameters for the BrS dta TPR priors. It is a list of two lists (alpha and beta). Alpha and beta are of the same length, the number of BrS measurement slices. Each element of the alpha (beta) list is a numeric vector for alpha (beta) parameters as in BETA distribution.

See also

Other prior specification functions: overall_uniform(), set_prior_tpr_SS()