Package: boinet 1.1.0
Yusuke Yamaguchi
boinet: Conduct Simulation Study of Bayesian Optimal Interval Design with BOIN-ET Family
Bayesian optimal interval based on both efficacy and toxicity outcomes (BOIN-ET) design is a model-assisted oncology phase I/II trial design, aiming to establish an optimal biological dose accounting for efficacy and toxicity in the framework of dose-finding. Some extensions of BOIN-ET design are also available to allow for time-to-event efficacy and toxicity outcomes based on cumulative and pending data (time-to-event BOIN-ET: TITE-BOIN-ET), ordinal graded efficacy and toxicity outcomes (generalized BOIN-ET: gBOIN-ET), and their combination (TITE-gBOIN-ET). 'boinet' is a package to implement the BOIN-ET design family and supports the conduct of simulation studies to assess operating characteristics of BOIN-ET, TITE-BOIN-ET, gBOIN-ET, and TITE-gBOIN-ET, where users can choose design parameters in flexible and straightforward ways depending on their own application.
Authors:
boinet_1.1.0.tar.gz
boinet_1.1.0.tar.gz(r-4.5-noble)boinet_1.1.0.tar.gz(r-4.4-noble)
boinet_1.1.0.tgz(r-4.4-emscripten)boinet_1.1.0.tgz(r-4.3-emscripten)
boinet.pdf |boinet.html✨
boinet/json (API)
NEWS
| # Install 'boinet' in R: |
| install.packages('boinet', repos = c('https://cran.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 3 months agofrom:468a2812b9. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 23 2024 |
| R-4.5-linux | OK | Nov 23 2024 |
Exports:boinetfp.logitgboinetgridoptimmulti.isoobd.selecttite.boinettite.gboinetutility.scoringutility.truncated.linearutility.weighted
Dependencies:ADGofTestcolorspacecopulagslIsolatticeMatrixmfpmvtnormnumDerivpcaPPpsplinestabledistsurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Conducting simulation study of BOIN-ET design | boinet |
| Fractional polynomial logistic regression | fp.logit |
| Conducting simulation study of gBOIN-ET design | gboinet |
| Grid search to find optimal threshold values of toxicity and efficacy interval | gridoptim |
| Model averaging of multiple unimodal isotopic regression | multi.iso |
| Optimal biological dose selection | obd.select |
| Print boinet | print.boinet |
| Print gboinet | print.gboinet |
| Print tite.boinet | print.tite.boinet |
| Print tite.gboinet | print.tite.gboinet |
| Conducting simulation study of TITE-BOIN-ET design | tite.boinet |
| Conducting simulation study of TITE-gBOIN-ET design | tite.gboinet |
| Utility defined by scoring | utility.scoring |
| Utility defined by truncated linear function | utility.truncated.linear |
| Utility defined by weighted function | utility.weighted |