In ablack3/Hades: Health Analytics Data-to-Evidence Suite
| Package | Maintainer(s) | Status |
| :----------------------------- | :-------------------------- | :-------------: |
| CohortMethod | Martijn Schuemie | HADES |
| SelfControlledCaseSeries | Martijn Schuemie | HADES |
| SelfControlledCohort | Martijn Schuemie | HADES |
| PatientLevelPrediction | Jenna Reps & Peter Rijnbeek | HADES |
| EmpiricalCalibration | Martijn Schuemie | CRAN |
| MethodEvaluation | Martijn Schuemie | HADES |
| CohortDiagnostics | Gowtham Rao | HADES |
| Cyclops | Marc Suchard | CRAN |
| DatabaseConnector | Chris Knoll & Martijn Schuemie | CRAN |
| SqlRender | Chris Knoll & Martijn Schuemie | CRAN |
| ParallelLogger | Martijn Schuemie | CRAN |
| FeatureExtraction | Martijn Schuemie | HADES |
| Andromeda | Martijn Schuemie | CRAN |
| BigKnn | Martijn Schuemie | HADES |
| ROhdsiWebApi | Gowtham Rao | HADES |
| OhdsiSharing | Martijn Schuemie | HADES |
| Hydra | Martijn Schuemie | HADES |
| Eunomia | Martijn Schuemie | HADES |
Maintainers
The package maintainers have final responsibility and authority over their respective packages. Only a maintainer may create a new release (following the release process), accept pull requests, and push to the master branch.
Package life cycle
We currently distinguish the following stages in a package life cycle:
- Candidate: The R package is being considered for inclusion in HADES, but does not yet meet all requirements.
- HADES: The package meets all requirements for inclusion in HADES, and is recommended for use in OHDSI community studies.
- CRAN: The package is available in CRAN.
Requirements for packages in HADES
For a package to be eligible for admission to HADES, it should meet the following criteria:
-
Adhere to all guidelines documented on this site.
-
For those interacting with data: run on all database platforms supported by OHDSI (e.g. PostgreSQL, SQL Server, Oracle, Amazon RedShift)
-
For population-level effect estimation methods: must be evaluated using the OHDSI Methods Benchmark.
The final decision for including a package in HADES lies with the leaders of the OHDSI Patient-Level Prediction Workgroup and Population-Level Estimation Workgroup.
ablack3/Hades documentation built on Oct. 31, 2020, 9:21 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| Package | Maintainer(s) | Status | | :----------------------------- | :-------------------------- | :-------------: | | CohortMethod | Martijn Schuemie | HADES | | SelfControlledCaseSeries | Martijn Schuemie | HADES | | SelfControlledCohort | Martijn Schuemie | HADES | | PatientLevelPrediction | Jenna Reps & Peter Rijnbeek | HADES | | EmpiricalCalibration | Martijn Schuemie | CRAN | | MethodEvaluation | Martijn Schuemie | HADES | | CohortDiagnostics | Gowtham Rao | HADES | | Cyclops | Marc Suchard | CRAN | | DatabaseConnector | Chris Knoll & Martijn Schuemie | CRAN | | SqlRender | Chris Knoll & Martijn Schuemie | CRAN | | ParallelLogger | Martijn Schuemie | CRAN | | FeatureExtraction | Martijn Schuemie | HADES | | Andromeda | Martijn Schuemie | CRAN | | BigKnn | Martijn Schuemie | HADES | | ROhdsiWebApi | Gowtham Rao | HADES | | OhdsiSharing | Martijn Schuemie | HADES | | Hydra | Martijn Schuemie | HADES | | Eunomia | Martijn Schuemie | HADES |
Maintainers
The package maintainers have final responsibility and authority over their respective packages. Only a maintainer may create a new release (following the release process), accept pull requests, and push to the master branch.
Package life cycle
We currently distinguish the following stages in a package life cycle:
- Candidate: The R package is being considered for inclusion in HADES, but does not yet meet all requirements.
- HADES: The package meets all requirements for inclusion in HADES, and is recommended for use in OHDSI community studies.
- CRAN: The package is available in CRAN.
Requirements for packages in HADES
For a package to be eligible for admission to HADES, it should meet the following criteria:
-
Adhere to all guidelines documented on this site.
-
For those interacting with data: run on all database platforms supported by OHDSI (e.g. PostgreSQL, SQL Server, Oracle, Amazon RedShift)
-
For population-level effect estimation methods: must be evaluated using the OHDSI Methods Benchmark.
The final decision for including a package in HADES lies with the leaders of the OHDSI Patient-Level Prediction Workgroup and Population-Level Estimation Workgroup.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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