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 <saurabh.mukhopadhyay@abbvie.com>
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
Built: R 4.3.3; ; 2025-01-24 04:33:11 UTC; unix
