Package: FeatureExtraction 3.7.2
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_3.7.2.tar.gz
FeatureExtraction_3.7.2.zip(r-4.5)FeatureExtraction_3.7.2.zip(r-4.4)FeatureExtraction_3.7.2.zip(r-4.3)
FeatureExtraction_3.7.2.tgz(r-4.4-any)FeatureExtraction_3.7.2.tgz(r-4.3-any)
FeatureExtraction_3.7.2.tar.gz(r-4.5-noble)FeatureExtraction_3.7.2.tar.gz(r-4.4-noble)
FeatureExtraction_3.7.2.tgz(r-4.4-emscripten)FeatureExtraction_3.7.2.tgz(r-4.3-emscripten)
FeatureExtraction.pdf |FeatureExtraction.html✨
FeatureExtraction/json (API)
NEWS
# Install 'FeatureExtraction' in R: |
install.packages('FeatureExtraction', repos = c('https://ohdsi.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ohdsi/featureextraction/issues
Last updated 19 days agofrom:437570aa6a. Checks:OK: 1 WARNING: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 18 2024 |
R-4.5-win | WARNING | Oct 18 2024 |
R-4.5-linux | WARNING | Oct 18 2024 |
R-4.4-win | WARNING | Oct 18 2024 |
R-4.4-mac | WARNING | Oct 18 2024 |
R-4.3-win | WARNING | Oct 18 2024 |
R-4.3-mac | WARNING | Oct 18 2024 |
Exports:aggregateCovariatescomputeStandardizedDifferenceconvertPrespecSettingsToDetailedSettingscreateAnalysisDetailscreateCohortAttrCovariateSettingscreateCohortBasedCovariateSettingscreateCohortBasedTemporalCovariateSettingscreateCovariateSettingscreateDefaultCovariateSettingscreateDefaultTemporalCovariateSettingscreateDetailedCovariateSettingscreateDetailedTemporalCovariateSettingscreateEmptyCovariateDatacreateTable1createTable1CovariateSettingscreateTemporalCovariateSettingscreateTemporalSequenceCovariateSettingsfilterByCohortDefinitionIdfilterByRowIdgetDbCohortAttrCovariatesDatagetDbCohortBasedCovariatesDatagetDbCovariateDatagetDbDefaultCovariateDatagetDefaultTable1SpecificationsisAggregatedCovariateDataisCovariateDataisTemporalCovariateDataloadCovariateDatasaveCovariateDatashowsummarytidyCovariateData
Dependencies:Andromedabackportsbitbit64blobcachemcheckmateclicliprcpp11crayonDatabaseConnectorDBIdbplyrdigestdplyrfansifastmapgenericsgluehmsjsonlitelifecyclemagrittrmemoiseParallelLoggerpillarpkgconfigplogrprettyunitsprogresspurrrR6RcppreadrrJavarlangRSQLitesnowSqlRenderstringistringrtibbletidyrtidyselecttriebeardtzdburltoolsutf8vctrsvroomwithrxml2zip
Creating covariates based on other cohorts
Rendered fromCreatingCovariatesBasedOnOtherCohorts.Rmd
usingknitr::rmarkdown
on Oct 18 2024.Last update: 2023-06-29
Started: 2023-06-29
Creating covariates using cohort attributes
Rendered fromCreatingCovariatesUsingCohortAttributes.Rmd
usingknitr::rmarkdown
on Oct 18 2024.Last update: 2024-04-22
Started: 2016-03-25
Creating custom covariate builders
Rendered fromCreatingCustomCovariateBuilders.Rmd
usingknitr::rmarkdown
on Oct 18 2024.Last update: 2024-07-16
Started: 2016-03-25
Creating custom covariate builders (Korean)
Rendered fromCreatingCustomCovariateBuildersKorean.Rmd
usingknitr::rmarkdown
on Oct 18 2024.Last update: 2024-04-22
Started: 2019-07-19
Using FeatureExtraction
Rendered fromUsingFeatureExtraction.Rmd
usingknitr::rmarkdown
on Oct 18 2024.Last update: 2024-05-02
Started: 2017-10-05
Using FeatureExtraction (Korean)
Rendered fromUsingFeatureExtractionKorean.Rmd
usingknitr::rmarkdown
on Oct 18 2024.Last update: 2024-05-02
Started: 2019-07-19