ctlr: Clinical Tolerance Limits for Assessing Agreement
Implements clinical tolerance limits (CTL) methodology for assessing
agreement between two measurement methods. Estimates the true latent trait using
Best Linear Unbiased Predictors (BLUP), models bias and variance components, and
calculates overall and conditional agreement probabilities. Provides visualization
tools including tolerance limit plots and conditional probability of agreement plots
with confidence bands.
This package is based on methods described in Taffé (2016)
<doi:10.1177/0962280216666667>, Taffé (2019)
<doi:10.1177/0962280219844535>, and 'Stata' package Taffé (2025)
<doi:10.1177/1536867X251365501>.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
binom (≥ 1.1-1.1), dplyr (≥ 1.1.0), ggplot2 (≥ 3.3.0), lme4 (≥ 1.1-35), lmtest (≥ 0.9-40), MASS (≥ 7.3-60), mfp2 (≥
1.0.1), sandwich (≥ 3.0-0), stats, utils |
| Suggests: |
testthat (≥ 3.0.0), withr (≥ 2.0.0) |
| Published: |
2026-03-20 |
| DOI: |
10.32614/CRAN.package.ctlr |
| Author: |
Eliane Maalouf 
[aut],
Patrick Taffé
[cre, aut, cph] |
| Maintainer: |
Patrick Taffé <patrick.taffe at unisante.ch> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
ctlr results |
Documentation:
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