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Performs Bayesian sample size, precision, and value-of-information analysis for external validation of existing multi-variable prediction models using the approach proposed by Sadatsafavi and colleagues (2025) <doi:10.1002/sim.70389>.
| Version: | 0.0.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | fastLogisticRegressionWrap, logitnorm, mc2d, mcmapper, pROC, cobs, OOR, quantreg |
| Suggests: | knitr, rmarkdown, ggplot2 |
| Published: | 2026-03-29 |
| DOI: | 10.32614/CRAN.package.bayespmtools |
| Author: | Mohsen Sadatsafavi
|
| Maintainer: | Mohsen Sadatsafavi <mohsen.sadatsafavi at ubc.ca> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | bayespmtools results |
| Reference manual: | bayespmtools.html , bayespmtools.pdf |
| Vignettes: |
bayespmtools_tutorial (source, R code) Getting Started with bayespmtools (source, R code) |
| Package source: | bayespmtools_0.0.1.tar.gz |
| Windows binaries: | r-devel: bayespmtools_0.0.1.zip, r-release: bayespmtools_0.0.1.zip, r-oldrel: bayespmtools_0.0.1.zip |
| macOS binaries: | r-release (arm64): bayespmtools_0.0.1.tgz, r-oldrel (arm64): not available, r-release (x86_64): bayespmtools_0.0.1.tgz, r-oldrel (x86_64): bayespmtools_0.0.1.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.