Package: SMARTbayesR Type: Package Title: Bayesian Set of Best Dynamic Treatment Regimes and Sample Size in SMARTs for Binary Outcomes Version: 2.0.0 Authors@R: person("William", "Artman", email = "William_Artman@URMC.Rochester.edu", role = c("aut", "cre")) Description: 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) . Imports: stats, utils, LaplacesDemon License: GPL-3 Encoding: UTF-8 Suggests: knitr, rmarkdown VignetteBuilder: knitr RoxygenNote: 7.1.1 Author: William Artman [aut, cre] Maintainer: William Artman NeedsCompilation: no Packaged: 2026-10-15 06:42:44 UTC; root Repository: https://wilart.r-universe.dev Date/Publication: 2021-09-30 18:00:02 UTC RemoteUrl: https://github.com/cran/SMARTbayesR RemoteRef: HEAD RemoteSha: b247e7a0657648afe806763c141915e55f44ea08