Package: blindrecalc 1.0.1
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. (2019) <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_1.0.1.tar.gz
blindrecalc_1.0.1.zip(r-4.5)blindrecalc_1.0.1.zip(r-4.4)blindrecalc_1.0.1.zip(r-4.3)
blindrecalc_1.0.1.tgz(r-4.4-x86_64)blindrecalc_1.0.1.tgz(r-4.4-arm64)blindrecalc_1.0.1.tgz(r-4.3-x86_64)blindrecalc_1.0.1.tgz(r-4.3-arm64)
blindrecalc_1.0.1.tar.gz(r-4.5-noble)blindrecalc_1.0.1.tar.gz(r-4.4-noble)
blindrecalc_1.0.1.tgz(r-4.4-emscripten)blindrecalc_1.0.1.tgz(r-4.3-emscripten)
blindrecalc.pdf |blindrecalc.html✨
blindrecalc/json (API)
NEWS
| # 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 1 years agofrom:f274901859. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 07 2024 |
| R-4.5-win-x86_64 | OK | Nov 07 2024 |
| R-4.5-linux-x86_64 | OK | Nov 07 2024 |
| R-4.4-win-x86_64 | OK | Nov 07 2024 |
| R-4.4-mac-x86_64 | OK | Nov 07 2024 |
| R-4.4-mac-aarch64 | OK | Nov 07 2024 |
| R-4.3-win-x86_64 | OK | Nov 07 2024 |
| R-4.3-mac-x86_64 | OK | Nov 07 2024 |
| R-4.3-mac-aarch64 | OK | Nov 07 2024 |
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 |
