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CRAN: Package SMARTbayesR

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 URMC.Rochester.edu> License: GPL-3 NeedsCompilation: no CRAN checks: SMARTbayesR results Documentation: Reference manual: SMARTbayesR.pdf Vignettes: SMARTBayesR (source, R code)
Downloads: Package source: SMARTbayesR_2.0.0.tar.gz Windows binaries: r-devel: SMARTbayesR_2.0.0.zip, r-release: SMARTbayesR_2.0.0.zip, r-oldrel: SMARTbayesR_2.0.0.zip 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 Linking:

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