Package: bfboinet 0.1.0
bfboinet: Backfill Bayesian Optimal Interval Design Using Efficacy and Toxicity
The backfill Bayesian optimal interval design using efficacy and toxicity outcomes for dose optimization (BF-BOIN-ET) design is a novel clinical trial design to allow patients to be backfilled at lower doses during a dose-finding trial while prioritizing the dose-escalation cohort to explore a higher dose. The advantages compared to the other designs in terms of the percentage of correct optimal dose (OD) selection, reducing the sample size, and shortening the duration of the trial, in various realistic setting.
Authors:
bfboinet_0.1.0.tar.gz
bfboinet_0.1.0.zip(r-4.5)bfboinet_0.1.0.zip(r-4.4)bfboinet_0.1.0.zip(r-4.3)
bfboinet_0.1.0.tgz(r-4.4-any)bfboinet_0.1.0.tgz(r-4.3-any)
bfboinet_0.1.0.tar.gz(r-4.5-noble)bfboinet_0.1.0.tar.gz(r-4.4-noble)
bfboinet_0.1.0.tgz(r-4.4-emscripten)bfboinet_0.1.0.tgz(r-4.3-emscripten)
bfboinet.pdf |bfboinet.html✨
bfboinet/json (API)
| # Install 'bfboinet' in R: |
| install.packages('bfboinet', repos = c('https://jingzhuzhuzhu.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 18 hours agofrom:90883c6e7c. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 19 2024 |
| R-4.5-win | OK | Nov 19 2024 |
| R-4.5-linux | OK | Nov 19 2024 |
| R-4.4-win | OK | Nov 19 2024 |
| R-4.4-mac | OK | Nov 19 2024 |
| R-4.3-win | OK | Nov 19 2024 |
| R-4.3-mac | OK | Nov 19 2024 |
Exports:get.oc.backboinetget.oc.backboinetr
Dependencies:ADGofTestclicolorspacecopuladplyrfansigenericsgluegslIsolatticelifecyclemagrittrMatrixmvtnormnumDerivpcaPPpillarpkgconfigpsplineR6rlangstabledisttibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| backboinet | get.oc.backboinet |
| backboinetr | get.oc.backboinetr |
