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boinet  

Conduct Simulation Study of Bayesian Optimal Interval Design with BOIN-ET Family
View on CRAN: Click here


Download and install boinet package within the R console
Install from CRAN:
install.packages("boinet")

Install from Github:
library("remotes")
install_github("cran/boinet")

Install by package version:
library("remotes")
install_version("boinet", "1.1.0")



Attach the package and use:
library("boinet")
Maintained by
Yusuke Yamaguchi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-05-30
Latest Update: 2023-06-08
Description:
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.
How to cite:
Yusuke Yamaguchi (2023). boinet: Conduct Simulation Study of Bayesian Optimal Interval Design with BOIN-ET Family. R package version 1.1.0, https://cran.r-project.org/web/packages/boinet. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.0.3 (2023-05-30 20:10), 1.0.0 (2023-06-09 01:12)
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