compute_risk_scores: Compute Risk Scores from a Risk Register

In r4subrisk: Risk Quantification Engine for Clinical Submission Readiness

Compute Risk Scores from a Risk Register

Description

Computes aggregate risk metrics from a risk register, including mean RPN, risk distribution, and overall risk score normalized to 0–1.

Usage

compute_risk_scores(risk_register, config = risk_config_default())

Arguments

risk_register	A risk_register from create_risk_register().
config	A risk_config from risk_config_default().

Value

A list of class "risk_scores" with:

• overall_risk_score: 0–1 (0 = no risk, 1 = maximum risk)

• mean_rpn: average RPN across all risks

• max_rpn: highest individual RPN

• n_risks: total risk count

• risk_distribution: tibble of counts by risk_level

• category_summary: tibble of mean RPN by category

Examples

risks <- data.frame(
  risk_id = c("R001", "R002"),
  description = c("Missing vars", "Bad derivation"),
  probability = c(4, 2), impact = c(5, 3), detectability = c(2, 3)
)
rr <- create_risk_register(risks)
compute_risk_scores(rr)

r4subrisk documentation built on March 4, 2026, 1:07 a.m.