# Implement Descriptive Studies Using the Common Data Model

## Documentation for package ‘Characterization’ version 3.0.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

cleanIncremental | Removes csv files from folders that have not been marked as completed and removes the record of the execution file
cleanNonIncremental | Removes csv files from the execution folder as there should be no csv files when running in non-incremental model
computeDechallengeRechallengeAnalyses | Compute dechallenge rechallenge study
computeRechallengeFailCaseSeriesAnalyses | Compute fine the subjects that fail the dechallenge rechallenge study
computeTimeToEventAnalyses | Compute time to event study
createCaseSeriesSettings | Create aggregate covariate study settings
createCharacterizationSettings | Create the settings for a large scale characterization study
createCharacterizationTables | Create the results tables to store characterization results into a database
createDechallengeRechallengeSettings | Create dechallenge rechallenge study settings
createDuringCovariateSettings | Create during covariate settings
createRiskFactorSettings | Create risk factor study settings
createSqliteDatabase | Create an sqlite database connection
createTargetBaselineSettings | Create target baseline aggregate covariate study settings
createTimeToEventSettings | Create time to event study settings
exampleOmopConnectionDetails | create a connection detail for an example GI Bleed dataset from Eunomia
getDbDuringCovariateData | Extracts covariates that occur during a cohort
insertResultsToDatabase | Upload the results into a result database
loadCharacterizationSettings | Load the characterization settings previously saved as a json file
runCharacterizationAnalyses | execute a large-scale characterization study
saveCharacterizationSettings | Save the characterization settings as a json
viewCharacterization | viewCharacterization - Interactively view the characterization results