compute_indicators: Compute diagnostic test indicators
In EvalTest: A 'shiny' App to Evaluate Diagnostic Tests Performance
View source: R/compute_indicators.R
compute_indicators R Documentation
Compute diagnostic test indicators
Description
This function computes sensitivity, specificity, predictive values,
likelihood ratios, accuracy, and Youden index with confidence intervals
based on a 2x2 table of diagnostic test results.
Usage
compute_indicators(tp, fp, fn, tn, prev, conf = 0.95)
Arguments
tp
True positives
fp
False positives
fn
False negatives
tn
True negatives
prev
Prevalence (numeric between 0 and 1)
conf
Confidence level (default 0.95)
Value
A list with all diagnostic indicators and confidence intervals
Examples
compute_indicators(50, 10, 5, 100, prev = 0.1)
EvalTest documentation built on Nov. 17, 2025, 5:06 p.m.
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View source: R/compute_indicators.R
| compute_indicators | R Documentation |
Compute diagnostic test indicators
Description
This function computes sensitivity, specificity, predictive values, likelihood ratios, accuracy, and Youden index with confidence intervals based on a 2x2 table of diagnostic test results.
Usage
compute_indicators(tp, fp, fn, tn, prev, conf = 0.95)
Arguments
tp |
True positives |
fp |
False positives |
fn |
False negatives |
tn |
True negatives |
prev |
Prevalence (numeric between 0 and 1) |
conf |
Confidence level (default 0.95) |
Value
A list with all diagnostic indicators and confidence intervals
Examples
compute_indicators(50, 10, 5, 100, prev = 0.1)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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