Package: bdribs Title: Bayesian Detection of Potential Risk Using Inference on Blinded Safety Data Version: 1.0.4 Date: 2018-08-25 Authors@R: person("Saurabh", "Mukhopadhyay", role = c("aut", "cre"), email = "saurabh.mukhopadhyay@abbvie.com") Maintainer: Saurabh Mukhopadhyay Description: Implements Bayesian inference to detect signal from blinded clinical trial when total number of adverse events of special concerns and total risk exposures from all patients are available in the study. For more details see the article by Mukhopadhyay et. al. (2018) titled 'Bayesian Detection of Potential Risk Using Inference on Blinded Safety Data', in Pharmaceutical Statistics (to appear). Depends: R (>= 3.1.0), rjags Note: Package 'rjags' requires JAGS executabe file (compatiable version) should be already installed. License: GPL-2 LazyData: TRUE RoxygenNote: 6.0.1 NeedsCompilation: no Packaged: 2018-08-25 22:08:46 UTC; mukhosx Author: Saurabh Mukhopadhyay [aut, cre] Repository: CRAN Date/Publication: 2018-08-31 17:50:17 UTC