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simFastBOIN: Fast Simulation of Bayesian Optimal Interval Designs for Phase I Trials

Design and evaluate phase I dose-finding trials that use the Bayesian optimal interval (BOIN) design of Liu and Yuan (2015) <doi:10.1111/rssc.12089>. Functions are provided to tabulate the decision boundaries, to simulate trials, to estimate the dose-toxicity curve under a monotonicity constraint and to select the maximum tolerated dose. The simulation engine is written in C++ and draws one random variate per patient in enrollment order, which reproduces the reference implementation in the 'BOIN' package trial by trial for a given seed. The traditional 3+3 design is provided as a comparator, with operating characteristics obtained in closed form rather than by simulation.

Version: 2.0.0
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.0), stats, utils
LinkingTo: Rcpp
Suggests: BOIN, ggplot2 (≥ 3.4.0), Iso, knitr, rmarkdown, spelling, testthat (≥ 3.0.0)
Published: 2026-09-18
DOI: 10.32614/CRAN.package.simFastBOIN
Author: Gosuke Homma ORCID iD [aut, cre]
Maintainer: Gosuke Homma <my.name.is.gosuke at gmail.com>
BugReports: https://github.com/gosukehommaEX/simFastBOIN/issues
License: MIT + file LICENSE
URL: https://github.com/gosukehommaEX/simFastBOIN
NeedsCompilation: yes
Language: en-US
Materials: README, NEWS
CRAN checks: simFastBOIN results

Documentation:

Reference manual: simFastBOIN.html , simFastBOIN.pdf
Vignettes: Getting started with simFastBOIN (source, R code)

Downloads:

Package source: simFastBOIN_2.0.0.tar.gz
Windows binaries: r-devel: simFastBOIN_1.3.2.zip, r-release: simFastBOIN_1.3.2.zip, r-oldrel: simFastBOIN_2.0.0.zip
macOS binaries: r-release (arm64): simFastBOIN_2.0.0.tgz, r-oldrel (arm64): simFastBOIN_2.0.0.tgz, r-release (x86_64): simFastBOIN_2.0.0.tgz, r-oldrel (x86_64): simFastBOIN_2.0.0.tgz
Old sources: simFastBOIN archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=simFastBOIN to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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