CopulaDTA
1.0.1Copula Based Bivariate Beta-Binomial Model for Diagnostic Test Accuracy Studies
Overview
Modelling of sensitivity and specificity on their natural scale using copula based bivariate beta-binomial distribution to yield marginal mean sensitivity and specificity. The intrinsic negative correlation between sensitivity and specificity is modelled using a copula function. A forest plot can be obtained for categorical covariates or for the model with intercept only. Nyaga VN, Arbyn M, Aerts M (2017) doi:10.18637/jss.v082.c01.
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9 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.4.0 released · 2024-04-24
- archivedRemoved from CRAN2024-04-20issues were not corrected despite reminders
- RR 4.3.0 released · 2023-04-21
- 1.0.12023-02-27 · diff ↗
- unarchivedReturned to CRAN2023-02-27
- archivedRemoved from CRAN2022-09-17check problems were not corrected in time
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 1.0.02017-11-23 · diff ↗
- 0.0.72017-10-11 · diff ↗
- 0.0.62017-10-11 · diff ↗
- RR 3.4.0 released · 2017-04-21
- 0.0.52017-02-23 · diff ↗
Package metadata
- Total releases
- 9
- License
- GPL-2 OSI
- Minimum R
- ≥ 4.2.0
- Bundled data
- 0.7 KB / 2 files
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