Package: CohortSymmetry 0.1.3.900

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://ohdsi.r-universe.dev', 'https://cloud.r-project.org'))

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

On CRAN:

7.60 score 1 stars 59 scripts 300 downloads 9 exports 118 dependencies

Last updated 5 days agofrom:63d0ba22fa. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 26 2024
R-4.5-win	OK	Oct 26 2024
R-4.5-linux	OK	Oct 26 2024
R-4.4-win	OK	Oct 26 2024
R-4.4-mac	OK	Oct 26 2024
R-4.3-win	OK	Oct 26 2024
R-4.3-mac	OK	Oct 26 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 ggplot2 glue gt gtable here highr hms htmltools htmlwidgets isoband jquerylib jsonlite juicyjuice knitr labeling lattice lifecycle lubridate magrittr markdown MASS Matrix memoise mgcv mime munsell nlme officer omock omopgenerics openssl PatientProfiles pillar pkgconfig prettyunits progress purrr R6 ragg rappdirs RColorBrewer Rcpp reactable reactR readr rematch2 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 Oct 26 2024.

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

Step 1. Generate a sequence cohort

Rendered froma02_Generate_a_sequence_cohort.Rmdusingknitr::rmarkdownon Oct 26 2024.

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

Step 2. Obtain the sequence ratios

Rendered froma03_Summarise_sequence_ratios.Rmdusingknitr::rmarkdownon Oct 26 2024.

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

Step 3. Visualise the sequence ratios

Rendered froma04_Visualise_sequence_ratios.Rmdusingknitr::rmarkdownon Oct 26 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 Oct 26 2024.

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

Step 5: Visualise temporal symmetry

Rendered froma06_Visualise_temporal_symmetry.Rmdusingknitr::rmarkdownon Oct 26 2024.