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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: 2.1.3
Depends: R (≥ 4.0.0)
Imports: Andromeda, DatabaseConnector (≥ 6.3.1), FeatureExtraction (≥ 3.6.0), SqlRender (≥ 1.9.0), ParallelLogger (≥ 3.0.0), ResultModelManager, checkmate, dplyr, readr, rlang
Suggests: devtools, testthat, kableExtra, knitr, markdown, rmarkdown, OhdsiShinyAppBuilder, shiny, withr
Published: 2025-03-04
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.pdf
Vignettes: Specification (source, R code)
Using_Package (source, R code)

Downloads:

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

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.