Package: CohortSymmetry 0.1.4

Xihang Chen

CohortSymmetry: Sequence Symmetry Analysis Using the Observational Medical Outcomes Partnership Common Data Model

Calculating crude sequence ratio, adjusted sequence ratio and confidence intervals using data mapped to the Observational Medical Outcomes Partnership Common Data Model.

Authors:Xihang Chen [aut, cre], Tyman Stanford [aut], Berta Raventós [aut], Nicole Pratt [aut], Ed Burn [aut], Marti Català [aut], Danielle Newby [aut], Núria Mercadé-Besora [aut], Mike Du [aut], Yuchen Guo [aut], Kim Lopez [aut], Marta Alcalde-Herraiz [aut]

CohortSymmetry_0.1.4.tar.gz
CohortSymmetry_0.1.4.tar.gz(r-4.5-noble)CohortSymmetry_0.1.4.tar.gz(r-4.4-noble)
CohortSymmetry_0.1.4.tgz(r-4.4-emscripten)CohortSymmetry_0.1.4.tgz(r-4.3-emscripten)
CohortSymmetry.pdf |CohortSymmetry.html✨
CohortSymmetry/json (API)

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

Peer review:

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

4.98 score 64 scripts 248 downloads 8 exports 109 dependencies

Last updated 6 days agofrom:9cd0e8786e. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 16 2024
R-4.5-linuxOKNov 16 2024

Exports:generateSequenceCohortSetmockCohortSymmetryplotSequenceRatiosplotTemporalSymmetrysummariseSequenceRatiossummariseTemporalSymmetrytableSequenceRatiostableSequenceRatiosOptions

Dependencies:askpassbackportsbase64encbigDbitbit64bitopsblobbslibcachemCDMConnectorcheckmateclicliprclockCodelistGeneratorcolorspacecommonmarkcpp11crayoncurldata.tableDBIdbplyrdiffobjdigestdplyrDrugUtilisationduckdbevaluatefansifarverfastmapflextablefontawesomefontBitstreamVerafontLiberationfontquiverfsgdtoolsgenericsgluegtherehighrhmshtmltoolshtmlwidgetsjquerylibjsonlitejuicyjuiceknitrlabelinglifecyclelubridatemagrittrmarkdownmemoisemimemunsellofficeromockomopgenericsopensslPatientProfilespillarpkgconfigprettyunitsprogresspurrrR6raggrappdirsRColorBrewerRcppreactablereactRreadrRJSONIOrlangrmarkdownrprojrootsassscalessnakecasestringistringrsyssystemfontstextshapingtibbletidyrtidyselecttimechangetinytextzdbutf8uuidV8vctrsviridisLitevisOmopResultsvroomwaldowithrxfunxml2yamlzip

Introduction to CohortSymmetry

Rendered froma01_Introduction.Rmdusingknitr::rmarkdownon Nov 16 2024.

Last update: 2024-11-15
Started: 2024-06-05

Step 1. Generate a sequence cohort

Rendered froma02_Generate_a_sequence_cohort.Rmdusingknitr::rmarkdownon Nov 16 2024.

Last update: 2024-11-15
Started: 2024-11-15

Step 2. Obtain the sequence ratios

Rendered froma03_Summarise_sequence_ratios.Rmdusingknitr::rmarkdownon Nov 16 2024.

Last update: 2024-11-15
Started: 2024-06-05

Step 3. Visualise the sequence ratios

Rendered froma04_Visualise_sequence_ratios.Rmdusingknitr::rmarkdownon Nov 16 2024.

Last update: 2024-11-15
Started: 2024-06-05

Step 4: Obtain aggregated data on temporal symmetry

Rendered froma05_Summarise_temporal_symmetry.Rmdusingknitr::rmarkdownon Nov 16 2024.

Last update: 2024-11-15
Started: 2024-06-05

Step 5: Visualise temporal symmetry

Rendered froma06_Visualise_temporal_symmetry.Rmdusingknitr::rmarkdownon Nov 16 2024.

Last update: 2024-11-15
Started: 2024-06-05