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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 |
| Reference manual: | SMARTbayesR.pdf |
| Vignettes: |
SMARTBayesR |
| 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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These binaries (installable software) and packages are in development.
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