Package: CohortSymmetry 0.2.4

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_0.2.4.tar.gz
CohortSymmetry_0.2.4.zip(r-4.7)CohortSymmetry_0.2.4.zip(r-4.6)CohortSymmetry_0.2.4.zip(r-4.5)
CohortSymmetry_0.2.4.tgz(r-4.6-any)CohortSymmetry_0.2.4.tgz(r-4.5-any)
CohortSymmetry_0.2.4.tar.gz(r-4.7-any)CohortSymmetry_0.2.4.tar.gz(r-4.6-any)
CohortSymmetry_0.2.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
CohortSymmetry/json (API)

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

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

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

On CRAN:

Conda:

6.46 score 2 stars 81 scripts 228 downloads 8 exports 51 dependencies

Last updated from:4691b6edd4. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK272
source / vignettesOK339
linux-release-x86_64OK254
macos-release-arm64OK217
macos-oldrel-arm64OK152
windows-develOK214
windows-releaseOK212
windows-oldrelOK268
wasm-releaseOK162

Exports:generateSequenceCohortSetmockCohortSymmetryplotSequenceRatiosplotTemporalSymmetrysummariseSequenceRatiossummariseTemporalSymmetrytableSequenceRatiostableTemporalSymmetry

Dependencies:askpassbackportsbitbit64blobCDMConnectorcheckmateclicliprclockCodelistGeneratorcpp11crayoncurlDBIdbplyrdplyrDrugUtilisationgenericsglueherehmshttrjsonlitelifecyclemagrittrmimeomopgenericsopensslPatientProfilespillarpkgconfigprettyunitsprogresspurrrR6readrrlangrprojrootsnakecasestringistringrsystibbletidyrtidyselecttzdbutf8vctrsvroomwithr

Introduction to CohortSymmetry

Rendered froma01_Introduction.Rmdusingknitr::rmarkdownon May 20 2026.

Last update: 2024-11-29
Started: 2024-04-22

Step 1. Generate a sequence cohort

Rendered froma02_Generate_a_sequence_cohort.Rmdusingknitr::rmarkdownon May 20 2026.

Last update: 2025-02-28
Started: 2024-10-15

Step 2. Obtain the sequence ratios

Rendered froma03_Summarise_sequence_ratios.Rmdusingknitr::rmarkdownon May 20 2026.

Last update: 2025-02-28
Started: 2024-05-28

Step 3. Visualise the sequence ratios

Rendered froma04_Visualise_sequence_ratios.Rmdusingknitr::rmarkdownon May 20 2026.

Last update: 2025-02-28
Started: 2024-05-28

Step 4: Obtain aggregated data on temporal symmetry

Rendered froma05_Summarise_temporal_symmetry.Rmdusingknitr::rmarkdownon May 20 2026.

Last update: 2025-02-28
Started: 2024-05-28

Step 5: Visualise temporal symmetry

Rendered froma06_Visualise_temporal_symmetry.Rmdusingknitr::rmarkdownon May 20 2026.

Last update: 2025-02-28
Started: 2024-05-28