SMARTbayesR: Bayesian Set of Best Dynamic Treatment Regimes and Sample Size in SMARTs for Binary Outcomes

Permits determination of a set of optimal dynamic treatment regimes and sample size for a SMART design in the Bayesian setting with binary outcomes. Please see Artman (2020) <doi:10.48550/arXiv.2008.02341>.

Version: 2.0.0
Imports: stats, utils, LaplacesDemon
Suggests: knitr, rmarkdown
Published: 2021-09-30
DOI: 10.32614/CRAN.package.SMARTbayesR
Author: William Artman [aut, cre]
Maintainer: William Artman <William_Artman at>
License: GPL-3
NeedsCompilation: no
CRAN checks: SMARTbayesR results


Reference manual: SMARTbayesR.pdf
Vignettes: SMARTBayesR


Package source: SMARTbayesR_2.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SMARTbayesR_2.0.0.tgz, r-oldrel (arm64): SMARTbayesR_2.0.0.tgz, r-release (x86_64): SMARTbayesR_2.0.0.tgz, r-oldrel (x86_64): SMARTbayesR_2.0.0.tgz
Old sources: SMARTbayesR archive


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