Package: FeatureExtraction 3.13.0

Ger Inberg
FeatureExtraction: Generating Features for a Cohort
An R interface for generating features for a cohort using data in the Common Data Model. Features can be constructed using default or custom made feature definitions. Furthermore it's possible to aggregate features and get the summary statistics.
Authors:
FeatureExtraction_3.13.0.tar.gz
FeatureExtraction_3.13.0.tar.gz(r-4.7-any)FeatureExtraction_3.13.0.tar.gz(r-4.6-any)
FeatureExtraction_3.13.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
FeatureExtraction/json (API)
NEWS
| # Install 'FeatureExtraction' in R: |
| install.packages('FeatureExtraction', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ohdsi/featureextraction/issues
Last updated from:d836133d5f. Checks:2 WARNING, 2 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | WARNING | 343 | ||
| source / vignettes | OK | 216 | ||
| linux-release-x86_64 | WARNING | 338 | ||
| wasm-release | OK | 139 |
Exports:aggregateCovariatescomputeStandardizedDifferenceconvertPrespecSettingsToDetailedSettingscreateAnalysisDetailscreateCohortAttrCovariateSettingscreateCohortBasedCovariateSettingscreateCohortBasedTemporalCovariateSettingscreateCovariateSettingscreateDefaultCovariateSettingscreateDefaultTemporalCovariateSettingscreateDetailedCovariateSettingscreateDetailedTemporalCovariateSettingscreateEmptyCovariateDatacreateTable1createTable1CovariateSettingscreateTemporalCovariateSettingscreateTemporalSequenceCovariateSettingsfilterByCohortDefinitionIdfilterByRowIdgetDbCohortAttrCovariatesDatagetDbCohortBasedCovariatesDatagetDbCovariateDatagetDbDefaultCovariateDatagetDefaultTable1SpecificationsisAggregatedCovariateDataisCovariateDataisTemporalCovariateDataloadCovariateDatasaveCovariateDatashowsummarytidyCovariateData
Dependencies:Andromedabackportsbitbit64blobcachemcheckmateclicliprcpp11crayonDatabaseConnectorDBIdbplyrdigestdplyrduckdbfastmapgenericsgluehmsjsonlitelifecyclemagrittrmemoisememuseParallelLoggerpillarpkgconfigprettyunitsprogresspurrrR6RcppreadrrJavarlangRSQLiterstudioapisnowSqlRenderstringistringrtibbletidyrtidyselecttriebeardtzdburltoolsutf8vctrsvroomwithrxml2zip
Creating covariates based on other cohorts
Rendered fromCreatingCovariatesBasedOnOtherCohorts.Rmdusingknitr::rmarkdownon Jun 04 2026.Last update: 2024-05-02
Started: 2024-05-02
Creating covariates using cohort attributes
Rendered fromCreatingCovariatesUsingCohortAttributes.Rmdusingknitr::rmarkdownon Jun 04 2026.Last update: 2024-05-02
Started: 2024-05-02
Creating custom covariate builders
Rendered fromCreatingCustomCovariateBuilders.Rmdusingknitr::rmarkdownon Jun 04 2026.Last update: 2025-04-20
Started: 2024-05-02
Creating custom covariate builders (Korean)
Rendered fromCreatingCustomCovariateBuildersKorean.Rmdusingknitr::rmarkdownon Jun 04 2026.Last update: 2024-05-02
Started: 2024-05-02
Using FeatureExtraction
Rendered fromUsingFeatureExtraction.Rmdusingknitr::rmarkdownon Jun 04 2026.Last update: 2024-05-02
Started: 2024-05-02
Using FeatureExtraction (Korean)
Rendered fromUsingFeatureExtractionKorean.Rmdusingknitr::rmarkdownon Jun 04 2026.Last update: 2024-05-02
Started: 2024-05-02