compute_dynamic_bewrs: Compute Dynamic BEWRS

In bewrs: Bayesian Early-Warning Risk Surveillance for Healthcare Performance Monitoring

Compute Dynamic BEWRS

Description

Computes the Bayesian Dynamic Early-Warning Risk Score using current posterior underperformance probability, persistence, and deterioration.

Usage

compute_dynamic_bewrs(
  up,
  persistence,
  deterioration,
  alpha = 0,
  beta_up = 1,
  beta_persistence = 1,
  beta_deterioration = 1
)

Arguments

up	Numeric vector of posterior underperformance probabilities.
persistence	Numeric vector measuring persistence of elevated risk.
deterioration	Numeric vector measuring recent deterioration.
alpha	Intercept parameter.
beta_up	Coefficient for logit-transformed posterior risk.
beta_persistence	Coefficient for persistence.
beta_deterioration	Coefficient for deterioration.

Value

Numeric vector of Dynamic BEWRS probabilities.

Examples

compute_dynamic_bewrs(
  up = c(0.2, 0.5, 0.8),
  persistence = c(0.1, 0.4, 0.7),
  deterioration = c(0.0, 0.1, 0.2)
)

bewrs documentation built on June 24, 2026, 5:08 p.m.