set_prior_tpr_BrS_NoNest: Set true positive rate (TPR) prior ranges for bronze-standard...
In oslerinhealth/baker: Bayesian Analysis Kit for Etiology Research

Description Usage Arguments Value See Also

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.

1	set_prior_tpr_BrS_NoNest(slice, model_options, data_nplcm)

`slice`	The BrS measurement slice under consideration.
`model_options`	See `nplcm()` function.
`data_nplcm`	See `assign_model()` function.

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.

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

oslerinhealth/baker documentation built on May 22, 2021, 12:05 p.m.