Package: bpp 1.0.6
bpp: Computations Around Bayesian Predictive Power
Implements functions to update Bayesian Predictive Power Computations after not stopping a clinical trial at an interim analysis. Such an interim analysis can either be blinded or unblinded. Code is provided for Normally distributed endpoints with known variance, with a prominent example being the hazard ratio.
Authors:
bpp_1.0.6.tar.gz
bpp_1.0.6.zip(r-4.7)bpp_1.0.6.zip(r-4.6)bpp_1.0.6.zip(r-4.5)
bpp_1.0.6.tgz(r-4.6-any)bpp_1.0.6.tgz(r-4.5-any)
bpp_1.0.6.tar.gz(r-4.7-any)bpp_1.0.6.tar.gz(r-4.6-any)
bpp_1.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
bpp/json (API)
| # Install 'bpp' in R: |
| install.packages('bpp', repos = c('https://numbersman77.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:88de5ef6f1. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 117 | ||
| source / vignettes | OK | 187 | ||
| linux-release-x86_64 | OK | 105 | ||
| macos-release-arm64 | OK | 118 | ||
| macos-oldrel-arm64 | OK | 83 | ||
| windows-devel | OK | 64 | ||
| windows-release | OK | 87 | ||
| windows-oldrel | OK | 84 | ||
| wasm-release | OK | 89 |
Exports:basicPlotbppbpp_1interimbpp_1interim_binarybpp_1interim_continuousbpp_1interim_t2ebpp_2interimbpp_binarybpp_continuousbpp_t2edUniformNormalTailsestimate_posteriorestimate_posterior_nominatorestimate_toIntegrateFlatNormalPosteriorinterval_posterior_nominatorinterval_posterior_nominator2interval_toIntegrateinterval_toIntegrate2NormalNormalPosteriorpost_powerpUniformNormalTails
Dependencies:mvtnorm
