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.zip(r-4.5)CohortSymmetry_0.1.4.zip(r-4.4)CohortSymmetry_0.1.4.zip(r-4.3)
CohortSymmetry_0.1.4.tgz(r-4.4-any)CohortSymmetry_0.1.4.tgz(r-4.3-any)
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://ohdsi.r-universe.dev', 'https://cloud.r-project.org'))

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

On CRAN:

7.58 score 1 stars 56 scripts 246 downloads 8 exports 109 dependencies

Last updated 7 days agofrom:e87515a14c. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 15 2024
R-4.5-win	OK	Nov 15 2024
R-4.5-linux	OK	Nov 15 2024
R-4.4-win	OK	Nov 15 2024
R-4.4-mac	OK	Nov 15 2024
R-4.3-win	OK	Nov 15 2024
R-4.3-mac	OK	Nov 15 2024

Exports:generateSequenceCohortSet mockCohortSymmetry plotSequenceRatios plotTemporalSymmetry summariseSequenceRatios summariseTemporalSymmetry tableSequenceRatios tableSequenceRatiosOptions

Dependencies:askpass backports base64enc bigD bit bit64 bitops blob bslib cachem CDMConnector checkmate cli clipr clock CodelistGenerator colorspace commonmark cpp11 crayon curl data.table DBI dbplyr diffobj digest dplyr DrugUtilisation duckdb evaluate fansi farver fastmap flextable fontawesome fontBitstreamVera fontLiberation fontquiver fs gdtools generics glue gt here highr hms htmltools htmlwidgets jquerylib jsonlite juicyjuice knitr labeling lifecycle lubridate magrittr markdown memoise mime munsell officer omock omopgenerics openssl PatientProfiles pillar pkgconfig prettyunits progress purrr R6 ragg rappdirs RColorBrewer Rcpp reactable reactR readr RJSONIO rlang rmarkdown rprojroot sass scales snakecase stringi stringr sys systemfonts textshaping tibble tidyr tidyselect timechange tinytex tzdb utf8 uuid V8 vctrs viridisLite visOmopResults vroom waldo withr xfun xml2 yaml zip

Introduction to CohortSymmetry

Rendered froma01_Introduction.Rmdusingknitr::rmarkdownon Nov 15 2024.

Last update: 2024-10-15
Started: 2024-04-22

Step 1. Generate a sequence cohort

Rendered froma02_Generate_a_sequence_cohort.Rmdusingknitr::rmarkdownon Nov 15 2024.

Last update: 2024-11-08
Started: 2024-10-15

Step 2. Obtain the sequence ratios

Rendered froma03_Summarise_sequence_ratios.Rmdusingknitr::rmarkdownon Nov 15 2024.

Last update: 2024-10-15
Started: 2024-05-28

Step 3. Visualise the sequence ratios

Rendered froma04_Visualise_sequence_ratios.Rmdusingknitr::rmarkdownon Nov 15 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 Nov 15 2024.

Last update: 2024-09-23
Started: 2024-05-28

Step 5: Visualise temporal symmetry

Rendered froma06_Visualise_temporal_symmetry.Rmdusingknitr::rmarkdownon Nov 15 2024.