Introduction | Statistical methods | Continuous outcomes | Binary outcomes | Package structure | Usage and example | Development principles | Conclusion | Contribution | References
Package: blindrecalc 1.1.1.9000
Lukas Baumann
blindrecalc: Blinded Sample Size Recalculation
Computation of key characteristics and plots for blinded sample size recalculation. Continuous as well as binary endpoints are supported in superiority and non-inferiority trials. See Baumann, Pilz, Kieser (2022) <doi:10.32614/RJ-2022-001> for a detailed description. The implemented methods include the approaches by Lu, K. (2016) <doi:10.1002/pst.1737>, Kieser, M. and Friede, T. (2000) <doi:10.1002/(SICI)1097-0258(20000415)19:7%3C901::AID-SIM405%3E3.0.CO;2-L>, Friede, T. and Kieser, M. (2004) <doi:10.1002/pst.140>, Friede, T., Mitchell, C., Mueller-Veltern, G. (2007) <doi:10.1002/bimj.200610373>, and Friede, T. and Kieser, M. (2011) <doi:10.3414/ME09-01-0063>.
Authors:
blindrecalc_1.1.1.9000.tar.gz
blindrecalc_1.1.1.9000.zip(r-4.7)blindrecalc_1.1.1.9000.zip(r-4.6)blindrecalc_1.1.1.9000.zip(r-4.5)
blindrecalc_1.1.1.9000.tgz(r-4.6-x86_64)blindrecalc_1.1.1.9000.tgz(r-4.6-arm64)blindrecalc_1.1.1.9000.tgz(r-4.5-x86_64)blindrecalc_1.1.1.9000.tgz(r-4.5-arm64)
blindrecalc_1.1.1.9000.tar.gz(r-4.7-arm64)blindrecalc_1.1.1.9000.tar.gz(r-4.7-x86_64)blindrecalc_1.1.1.9000.tar.gz(r-4.6-arm64)blindrecalc_1.1.1.9000.tar.gz(r-4.6-x86_64)
blindrecalc_1.1.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
blindrecalc/json (API)
| # Install 'blindrecalc' in R: |
| install.packages('blindrecalc', repos = c('https://imbi-heidelberg.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/imbi-heidelberg/blindrecalc/issues
Last updated from:e33f487489. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 163 | ||
| linux-devel-x86_64 | OK | 163 | ||
| source / vignettes | OK | 172 | ||
| linux-release-arm64 | OK | 163 | ||
| linux-release-x86_64 | OK | 169 | ||
| macos-release-arm64 | OK | 166 | ||
| macos-release-x86_64 | OK | 242 | ||
| macos-oldrel-arm64 | OK | 166 | ||
| macos-oldrel-x86_64 | OK | 428 | ||
| windows-devel | OK | 211 | ||
| windows-release | OK | 179 | ||
| windows-oldrel | OK | 159 | ||
| wasm-release | OK | 139 |
Exports:adjusted_alphan_distn_fixpowsetupChiSquaresetupFarringtonManningsetupStudentsimulationtoer
Dependencies:Rcpp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Adjusted level of significance | adjusted_alpha |
| Adjusted level of significance | adjusted_alpha,ChiSquare-method |
| Adjusted level of significance | adjusted_alpha,FarringtonManning-method |
| Adjusted level of significance | adjusted_alpha,Student-method |
| Blinded Sample Size Recalculation | blindrecalc-package blindrecalc |
| Chi-squared test | ChiSquare ChiSquare-class setupChiSquare |
| Farrington Manning test | FarringtonManning FarringtonManning-class setupFarringtonManning |
| Distribution of the Sample Size | n_dist |
| Distribution of the Sample Size | n_dist,ChiSquare-method |
| Distribution of the Sample Size | n_dist,FarringtonManning-method |
| Distribution of the Sample Size | n_dist,Student-method |
| Fixed Sample Size | n_fix |
| Fixed Sample Size | n_fix,ChiSquare-method |
| Fixed Sample Size | n_fix,FarringtonManning-method |
| Fixed Sample Size | n_fix,Student-method |
| Power | pow |
| Power | pow,ChiSquare-method |
| Power | pow,FarringtonManning-method |
| Power | pow,Student-method |
| Simulate Rejection Probability and Sample Size for Student's t-Test | simulation |
| Student's t test | setupStudent Student Student-class |
| Type I Error Rate | toer |
| Type I Error Rate | toer,ChiSquare-method |
| Type I Error Rate | toer,FarringtonManning-method |
| Type I Error Rate | toer,Student-method |
