Package: Eunomia 2.1.0

Frank DeFalco

Eunomia: Standard Dataset Manager for Observational Medical Outcomes Partnership Common Data Model Sample Datasets

Facilitates access to sample datasets from the 'EunomiaDatasets' repository (<https://github.com/ohdsi/EunomiaDatasets>).

Authors:Frank DeFalco [aut, cre], Martijn Schuemie [aut], Anthony Sena [aut], Natthawut Adulyanukosol [aut], Star Liu [aut], Adam Black [aut], Observational Health Data Science and Informatics [cph]

Eunomia_2.1.0.tar.gz
Eunomia_2.1.0.zip(r-4.7)Eunomia_2.1.0.zip(r-4.6)Eunomia_2.1.0.zip(r-4.5)
Eunomia_2.1.0.tgz(r-4.6-any)Eunomia_2.1.0.tgz(r-4.5-any)
Eunomia_2.1.0.tar.gz(r-4.7-any)Eunomia_2.1.0.tar.gz(r-4.6-any)
Eunomia_2.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
Eunomia/json (API)
NEWS

# Install 'Eunomia' in R:
install.packages('Eunomia', repos = c('https://ohdsi.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ohdsi/eunomia/issues

Pkgdown/docs site:https://ohdsi.github.io

Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

On CRAN:

Conda:

hadesopenjdk

6.59 score 48 stars 182 scripts 880 downloads 7 exports 66 dependencies

Last updated from:f5462843b1. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK172
source / vignettesOK169
linux-release-x86_64OK183
macos-release-arm64OK115
macos-oldrel-arm64OK128
windows-develOK153
windows-releaseOK197
windows-oldrelOK137
wasm-releaseOK137

Exports:createCohortsdownloadEunomiaDataexportDataFilesextractLoadDatagetDatabaseFilegetEunomiaConnectionDetailsloadDataFiles

Dependencies:arrowassertthatbackportsbase64encbitbit64blobbslibcachemcheckmateclicliprCommonDataModelcpp11crayonDatabaseConnectorDBIdbplyrdigestdplyrevaluatefastmapfontawesomefsgenericsgluehighrhmshtmltoolsjquerylibjsonliteknitrlifecyclemagrittrmemoisemimepillarpkgconfigprettyunitsprogresspurrrR6rappdirsRcppreadrrJavarlangrmarkdownRSQLitesassSqlRenderstringistringrtibbletidyrtidyselecttinytextriebeardtzdburltoolsutf8vctrsvroomwithrxfunyaml