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bayespmtools

Bayesian Sample Size and Precision Considerations for Risk Prediction Models

v0.0.1 · Mar 29, 2026 · GPL-3

Description

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>.

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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 30, 2026

Dependency Network

Dependencies Reverse dependencies fastLogisticRegressionWrap logitnorm mc2d mcmapper pROC cobs OOR quantreg bayespmtools

Version History

new 0.0.1 Mar 29, 2026