Characterization: Implement Descriptive Studies Using the Common Data Model

An end-to-end framework that enables users to implement various descriptive studies for a given set of target and outcome cohorts for data mapped to the Observational Medical Outcomes Partnership Common Data Model.

Version: 2.2.0
Depends: R (≥ 4.0.0)
Imports: Andromeda (≥ 1.0.0), DatabaseConnector (≥ 6.3.1), FeatureExtraction (≥ 3.10.0), SqlRender (≥ 1.9.0), ParallelLogger (≥ 3.0.0), ResultModelManager, checkmate, dplyr, readr, rlang
Suggests: devtools, formatR, testthat, kableExtra, knitr, markdown, rmarkdown, OhdsiShinyAppBuilder, shiny, withr
Published: 2025年09月10日
DOI: 10.32614/CRAN.package.Characterization
Author: Jenna Reps [aut, cre], Patrick Ryan [aut], Chris Knoll [aut]
Maintainer: Jenna Reps <jreps at its.jnj.com>
BugReports: https://github.com/OHDSI/Characterization/issues
License: Apache License 2.0
URL: https://ohdsi.github.io/Characterization/, https://github.com/OHDSI/Characterization
NeedsCompilation: no
CRAN checks: Characterization results

Documentation:

Reference manual: Characterization.html , Characterization.pdf
Vignettes: Specification (source, R code)
Using_Package (source, R code)

Downloads:

Package source: Characterization_2.2.0.tar.gz
Windows binaries: r-devel: Characterization_2.2.0.zip, r-release: Characterization_2.2.0.zip, r-oldrel: Characterization_2.2.0.zip
macOS binaries: r-release (arm64): Characterization_2.2.0.tgz, r-oldrel (arm64): Characterization_2.1.3.tgz, r-release (x86_64): Characterization_2.2.0.tgz, r-oldrel (x86_64): Characterization_2.2.0.tgz
Old sources: Characterization archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Characterization to link to this page.

AltStyle によって変換されたページ (->オリジナル) /