Rapid Phenotype Evaluation R package PheValuator version 2.2.18 Evaluates phenotype algorithms by developing a diagnostic prediction model using a set of noisy positives and noisy negatives. It can then apply the model to a large cohort to create a set of subjects each with a predicted probability for the health outcome of interest. This cohort can then be used to evaluate phenotype algorithms through the calculation of the necessary performance characteristics - sensitivity, specificity, and positive and negative predictive value. Based on work by Swerdel (2022) <doi:10.1016/j.jbi.2022.104177> and Swerdel (2019) <doi:10.1016/j.jbi.2019.103258>. Software Depends: R (>= 4.1.1) Imports: DatabaseConnector, PatientLevelPrediction (>= 6.0.4), FeatureExtraction (>= 2.1.5), SqlRender (>= 1.5.2), dplyr (>= 0.7.8), methods, ParallelLogger, tibble Suggests: knitr, rmarkdown, shiny, shinydashboard, DT, htmltools, qpdf, testthat, Eunomia, withr, CohortGenerator William J. O'Brien <wobrien8@its.jnj.com> Comprehensive R Archive Network (CRAN) William J. O'Brien [aut, cre], Joel Swerdel [aut], Martijn Schuemie [aut] Apache License 2.0 2026-10-24 application/tgz https://CRAN.R-project.org/package=PheValuator doi:10.32614/CRAN.package.PheValuator