get_metrics_internal: Get Model Metrics for a Single Threshold

In riskscores: Optimized Integer Risk Score Models

Get Model Metrics for a Single Threshold

Description

Calculates a risk model's deviance, accuracy, sensitivity, specificity, AUC, and AUPRC given a set of data and a threshold value.

Usage

get_metrics_internal(
  mod,
  X = NULL,
  y = NULL,
  weights = NULL,
  threshold = 0.5,
  threshold_type = c("response", "score")
)

Arguments

mod	An object of class risk_mod, usually a result of a call to risk_mod().
X	Input covariate matrix with dimension n \times p; every row is an observation.
y	Numeric vector for the (binomial) response variable.
weights	Numeric vector of length n with weights for each observation. Unless otherwise specified, default will give equal weight to each observation.
threshold	Numeric vector of classification threshold values used to calculate the accuracy, sensitivity, and specificity of the model. Defaults to a range of risk probability thresholds from 0.1 to 0.9 by 0.1.
threshold_type	Defines whether the threshold vector contains risk probability values ("response") or threshold values expressed as scores from the risk score model ("score"). Default: "response".

Value

List with deviance (dev), accuracy (acc), sensitivity (sens), specificity (spec), auc, and auprc.

riskscores documentation built on Aug. 24, 2026, 5:07 p.m.