c(person(given = "Miguel",
family = "Ferreiro-Díaz",
role = c("aut","cre"),
email = "miguel.ferreiro.diaz@gmail.com"),
person(given = "David",
family = "Ruano-Ordás",
role = c("aut","ctr"),
email = "drordas@uvigo.es"),
person(given = "Tomás R.",
family= "Cotos-Yañez",
role = c("aut","ctr"),
email = "cotos@uvigo.es"),
person(given = "José Ramón",
family= "Méndez Reboredo",
role = c("aut","ctr"),
email = "moncho.mendez@uvigo.es"),
person(given = "University of Vigo",
role = c("cph")))
Miguel Ferreiro-Díaz [aut, cre],
David Ruano-Ordás [aut, ctr],
Tomás R. Cotos-Yañez [aut, ctr],
José Ramón Méndez Reboredo [aut, ctr],
University of Vigo [cph]

'AbbreviationPipe.R' 'bdpar.log.R' 'wrapper.R' 'Bdpar.R'
'BdparOptions.R' 'Connections.R' 'ContractionPipe.R'
'DefaultPipeline.R' 'DynamicPipeline.R' 'ExtractorEml.R'
'ExtractorFactory.R' 'ExtractorSms.R' 'ExtractorTwtid.R'
'ExtractorYtbid.R' 'File2Pipe.R' 'FindEmojiPipe.R'
'FindEmoticonPipe.R' 'FindHashtagPipe.R' 'FindUrlPipe.R'
'FindUserNamePipe.R' 'GenericPipe.R' 'GenericPipeline.R'
'GuessDatePipe.R' 'GuessLanguagePipe.R' 'Instance.R'
'InterjectionPipe.R' 'MeasureLengthPipe.R' 'ResourceHandler.R'
'SlangPipe.R' 'StopWordPipe.R' 'StoreFileExtPipe.R'
'TargetAssigningPipe.R' 'TeeCSVPipe.R' 'ToLowerCasePipe.R'
'bdpar.Options.R' 'bdparData.R' 'eml.R' 'emojisData.R'
'operator-pipe.R' 'runPipeline.R' 'zzz.R'

Optimisation of Bayesian Decision Problems
Optimisation of the expected utility in single-stage and multi-stage Bayesian decision problems. The expected utility is estimated by simulation. For single-stage problems, JAGS is used to draw MCMC samples.

Inference and design for predictive values in binary diagnostic
tests
Computation of asymptotic confidence intervals for
negative and positive predictive values in binary diagnostic
tests. Experimental design based for hypothesis tests on
predictive values.

c(person("Frank", "Schaarschmidt", role = c("aut", "cre"),
email = "schaarschmidt@biostat.uni-hannover.de"))
Computation of asymptotic confidence intervals for negative and positive predictive values in binary diagnostic tests in case-control studies. Experimental design for hypothesis tests on predictive values.