dot-get_constant_prior_parameters: Get constant priors for Bayesian DCA
In giulianonetto/bayesdca: Bayesian Decision Curve Analysis

.get_constant_prior_parameters

R Documentation

Get constant priors for Bayesian DCA

Get constant priors for Bayesian DCA

.get_constant_prior_parameters(
  n_thresholds,
  n_strategies,
  prior_p = NULL,
  prior_se = NULL,
  prior_sp = NULL
)

`n_thresholds`	Number of thresholds (int.).
`n_strategies`	Number of models or tests (int.).
`prior_p, prior_se, prior_sp`	Non-negative shape values for Beta(alpha, beta) priors used for p, Se, and Sp, respectively. Default is uniform prior for all parameters - Beta(1, 1). A single vector of the form `c(a, b)` can be provided for each.