PheValuator: Rapid Phenotype Evaluation

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>.

Version:	2.2.18
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
Published:	2026-10-24
DOI:	10.32614/CRAN.package.PheValuator
Author:	William J. O'Brien [aut, cre], Joel Swerdel [aut], Martijn Schuemie [aut]
Maintainer:	William J. O'Brien <wobrien8 at its.jnj.com>
BugReports:	https://github.com/OHDSI/PheValuator/issues
License:	Apache License 2.0
URL:	https://ohdsi.github.io/PheValuator/, https://github.com/OHDSI/PheValuator
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	PheValuator results

Documentation:

Reference manual:	PheValuator.html , PheValuator.pdf
Vignettes:	Evaluating Phenotype Algorithms (source, R code)

Downloads:

Package source:	PheValuator_2.2.18.tar.gz
Windows binaries:	r-devel: PheValuator_2.2.18.zip, r-release: PheValuator_2.2.18.zip, r-oldrel: PheValuator_2.2.18.zip
macOS binaries:	r-release (arm64): PheValuator_2.2.18.tgz, r-oldrel (arm64): PheValuator_2.2.18.tgz, r-release (x86_64): PheValuator_2.2.18.tgz, r-oldrel (x86_64): PheValuator_2.2.18.tgz

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