Package: CohortSymmetry 0.1.2.900

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]

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CohortSymmetry.pdf |CohortSymmetry.html✨
CohortSymmetry/json (API)

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

Peer review:

Bug tracker:https://github.com/oxford-pharmacoepi/cohortsymmetry/issues

On CRAN:

9 exports 1 stars 2.77 score 118 dependencies 54 scripts 253 downloads

Last updated 10 days agofrom:02e6a38f80. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 08 2024
R-4.5-winOKSep 08 2024
R-4.5-linuxOKSep 08 2024
R-4.4-winOKSep 08 2024
R-4.4-macOKSep 08 2024
R-4.3-winOKSep 08 2024
R-4.3-macOKSep 08 2024

Exports:%>%generateSequenceCohortSetmockCohortSymmetryplotSequenceRatiosplotTemporalSymmetrysummariseSequenceRatiossummariseTemporalSymmetrytableSequenceRatiostableSequenceRatiosOptions

Dependencies:askpassbackportsbase64encbigDbitbit64bitopsblobbslibcachemCDMConnectorcheckmateclicliprclockCodelistGeneratorcolorspacecommonmarkcpp11crayoncurldata.tableDBIdbplyrdiffobjdigestdplyrDrugUtilisationduckdbevaluatefansifarverfastmapflextablefontawesomefontBitstreamVerafontLiberationfontquiverfsgdtoolsgenericsggplot2gluegtgtableherehighrhmshtmltoolshtmlwidgetsisobandjquerylibjsonlitejuicyjuiceknitrlabelinglatticelifecyclelubridatemagrittrmarkdownMASSMatrixmemoisemgcvmimemunsellnlmeofficeromockomopgenericsopensslPatientProfilespillarpkgconfigprettyunitsprogresspurrrR6raggrappdirsRColorBrewerRcppreactablereactRreadrrematch2RJSONIOrlangrmarkdownrprojrootsassscalessnakecasestringistringrsyssystemfontstextshapingtibbletidyrtidyselecttimechangetinytextzdbutf8uuidV8vctrsviridisLitevisOmopResultsvroomwaldowithrxfunxml2yamlzip

Introduction to CohortSymmetry

Rendered froma01_Introduction.Rmdusingknitr::rmarkdownon Sep 08 2024.

Last update: 2024-06-14
Started: 2024-04-22

Step 1. Generate a sequence cohort

Rendered froma02_Generate_a_sequence_cohort_set.Rmdusingknitr::rmarkdownon Sep 08 2024.

Last update: 2024-08-16
Started: 2024-04-22

Step 2. Obtain the sequence ratios

Rendered froma03_Summarise_sequence_ratios.Rmdusingknitr::rmarkdownon Sep 08 2024.

Last update: 2024-08-16
Started: 2024-05-28

Step 3. Visualise the sequence ratios

Rendered froma04_Visualise_sequence_ratios.Rmdusingknitr::rmarkdownon Sep 08 2024.

Last update: 2024-08-16
Started: 2024-05-28

Step 4: Obtain aggregated data on temporal symmetry

Rendered froma05_Summarise_temporal_symmetry.Rmdusingknitr::rmarkdownon Sep 08 2024.

Last update: 2024-08-16
Started: 2024-05-28

Step 5: Visualise temporal symmetry

Rendered froma06_Visualise_temporal_symmetry.Rmdusingknitr::rmarkdownon Sep 08 2024.

Last update: 2024-08-16
Started: 2024-05-28