| Type: | Package |
| Title: | Recover Diagnostic Test Accuracy Counts from Reported Accuracy Measures |
| Version: | 0.1.0 |
| Date: | 2026-01-09 |
| Description: | Implements a system of linear equations to recover unreported diagnostic test accuracy cell counts from commonly reported measures such as sensitivity, specificity, predictive values, prevalence, and sample size. The package is intended for applied researchers who require complete 2x2 table counts for downstream analyses. |
| License: | MIT + file LICENSE |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.3.3 |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Config/testthat/edition: | 3 |
| VignetteBuilder: | knitr |
| NeedsCompilation: | no |
| Packaged: | 2026-01-09 20:13:49 UTC; 12896 |
| Author: | Conrad Kabali [aut, cre] |
| Maintainer: | Conrad Kabali <conrad.kabali@utoronto.ca> |
| Repository: | CRAN |
| Date/Publication: | 2026-01-14 18:00:09 UTC |
Derive Unreported Diagnostic Test Counts
Description
Recovers unreported true positive (TP), false negative (FN), false positive (FP), and true negative (TN) counts using a system of linear equations.
Usage
derive_counts(
n,
sensitivity = NULL,
specificity = NULL,
ppv = NULL,
npv = NULL,
prevalence = NULL,
tol = 1e-06
)
Arguments
n |
Total sample size. |
sensitivity |
Test sensitivity. |
specificity |
Test specificity. |
ppv |
Positive predictive value. |
npv |
Negative predictive value. |
prevalence |
Pretest probability. |
tol |
Numerical tolerance for validation. |
Value
An object of class diagcounts with elements TP, FN, FP, TN.
References
Xie X, Wang M, Antony J, Vandersluis S, Kabali CB (2025). System of Linear Equations to Derive Unreported Test Accuracy Counts. Statistics in Medicine. https://doi.org/10.1002/sim.70336
Examples
# Recover unreported diagnostic counts from published accuracy measures
derive_counts(
n = 105,
sensitivity = 0.6,
specificity = 0.893,
prevalence = 0.733
)
# Recover counts using predictive values
derive_counts(
n = 160,
sensitivity = 0.75,
ppv = 0.75,
npv = 0.75
)