Can be used for joint identification of candidate compound hits from multiple assays, in drug discovery. This package implements the framework of I. D. Shterev, D. B. Dunson, C. Chan and G. D. Sempowski. "Bayesian Multi-Plate High-Throughput Screening of Compounds", Scientific Reports 8 (1), 9551. This project was funded by the Division of Allergy, Immunology, and Transplantation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services, under contract No. HHSN272201400054C entitled "Adjuvant Discovery For Vaccines Against West Nile Virus and Influenza", awarded to Duke University and lead by Drs. Herman Staats and Soman Abraham.

Can be used for joint identification of candidate compound hits from multiple assays, in drug discovery. This package implements the framework of I. D. Shterev, D. B. Dunson, C. Chan and G. D. Sempowski. "Bayesian Multi-Plate High-Throughput Screening of Compounds", Scientific Reports 8(1):9551, 2018. This project was funded by the Division of Allergy, Immunology, and Transplantation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services, under contract No. HHSN272201400054C entitled "Adjuvant Discovery For Vaccines Against West Nile Virus and Influenza", awarded to Duke University and lead by Drs. Herman Staats and Soman Abraham.

c(person(c("Ivo", "D."), "Shterev", role = c("aut", "cre"),
email = "i.shterev@gmail.com"),
person(c("David", "B."), "Dunson", role = "aut"),
person("Cliburn", "Chan", role = "aut"),
person(c("Gregory", "D."), "Sempowski", role = "aut"))

Blinding Assessment Indexes for Randomized, Controlled, Clinical
Trials
Generate the James Blinding Index, as described in James et al (1996)
<https://pubmed.ncbi.nlm.nih.gov/8841652/> and the Bang Blinding Index,
as described in Bang et al (2004) <https://pubmed.ncbi.nlm.nih.gov/15020033/>.
These are measures to assess whether or not satisfactory blinding has been
maintained in a randomized, controlled, clinical trial. These can be generated
for trial subjects, research coordinators and principal investigators, based
upon standardized questionnaires that have been administered, to assess whether
or not they can correctly guess to which treatment arm (e.g. placebo or treatment)
subjects were assigned at randomization.
c(person("Marc", "Schwartz", role = c("aut", "cre"), email = "marc_schwartz@me.com"),
person("Nate", "Mercaldo", role = "aut", email = "nmercaldo@mgh.harvard.edu"))
Marc Schwartz [aut, cre],
Nate Mercaldo [aut]