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) <arXiv:2008.02341>.

Version:	2.0.0
Imports:	stats, utils, LaplacesDemon
Suggests:	knitr, rmarkdown
Published:	2021-09-30
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

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

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