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.
Version: |
1.0.0 |
Imports: |
Iso, mfp, copula |
Suggests: |
testthat (≥ 3.0.0) |
Published: |
2023-06-08 |
Author: |
Yusuke Yamaguchi [aut, cre],
Kentaro Takeda [aut] |
Maintainer: |
Yusuke Yamaguchi <yamagubed at gmail.com> |
License: |
MIT + file LICENSE |
NeedsCompilation: |
no |
Materials: |
README NEWS |
CRAN checks: |
boinet results |
Documentation:
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