Package: bayespmtools 0.0.2

Mohsen Sadatsafavi
bayespmtools: Bayesian Sample Size and Precision Considerations for Risk Prediction Models
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 (2026) <doi:10.1002/sim.70389>.
Authors:
bayespmtools_0.0.2.tar.gz
bayespmtools_0.0.2.zip(r-4.7)bayespmtools_0.0.2.zip(r-4.6)bayespmtools_0.0.2.zip(r-4.5)
bayespmtools_0.0.2.tgz(r-4.6-any)bayespmtools_0.0.2.tgz(r-4.5-any)
bayespmtools_0.0.2.tar.gz(r-4.7-any)bayespmtools_0.0.2.tar.gz(r-4.6-any)
bayespmtools_0.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
bayespmtools/json (API)
NEWS
| # Install 'bayespmtools' in R: |
| install.packages('bayespmtools', repos = c('https://resplab.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/resplab/bayespmtools/issues
- isaric - Isaric Dataset
Last updated from:29c936be98. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 167 | ||
| source / vignettes | OK | 220 | ||
| linux-release-x86_64 | OK | 191 | ||
| macos-release-arm64 | OK | 148 | ||
| macos-oldrel-arm64 | OK | 121 | ||
| windows-devel | OK | 126 | ||
| windows-release | OK | 134 | ||
| windows-oldrel | OK | 142 | ||
| wasm-release | OK | 139 |
Exports:bpm_valprecbpm_valsampcalc_se_spplot_cal_distanceplot_cal_instabilityprocess_evidence
Dependencies:abindbackportsbootbroomcarcarDatacheckmateclicobscolorspacecorrplotcowplotcpp11DerivdoBydplyrfarverfastLogisticRegressionWrapforecastFormulafracdiffgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobandlabelinglatticelifecyclelme4lmtestlogitnormmagrittrMASSMatrixMatrixModelsmc2dmcmappermgcvmicrobenchmarkminqamodelrmvtnormnlmenloptrnnetnumDerivOORpbkrtestpillarpkgconfigpolynompROCpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppNumericalRdpackreformulasrlangrstatixS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo