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.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.
install.packages("Characterization")

4.1.0 by Jenna Reps, a month ago

https://ohdsi.github.io/Characterization/, https://github.com/OHDSI/Characterization

Report a bug at https://github.com/OHDSI/Characterization/issues

Browse source code at https://github.com/cran/Characterization

Authors: Jenna Reps [aut, cre] , Patrick Ryan [aut] , Chris Knoll [aut]

Documentation:   PDF Manual  

Apache License 2.0 license

Imports Andromeda, DatabaseConnector, digest, FeatureExtraction, SqlRender, ParallelLogger, ResultModelManager, checkmate, dplyr, readr, rlang

Suggests CohortIncidence, devtools, formatR, testthat, kableExtra, knitr, markdown, rmarkdown, OhdsiShinyAppBuilder, shiny, withr

See at CRAN

R links

R homepage

Download R

Mailing lists

R documentation

R manuals

R FAQs

The R Journal

CRAN links

CRAN homepage

CRAN repository policy

Submit a package

METACRAN stuff

About METACRAN

At github

Report a bug