Package: IncidencePrevalence 0.8.1
IncidencePrevalence: Estimate Incidence and Prevalence using the OMOP Common Data Model
Calculate incidence and prevalence using data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. Incidence and prevalence can be estimated for the total population in a database or for a stratification cohort.
Authors:
IncidencePrevalence_0.8.1.tar.gz
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IncidencePrevalence.pdf |IncidencePrevalence.html✨
IncidencePrevalence/json (API)
# Install 'IncidencePrevalence' in R: |
install.packages('IncidencePrevalence', repos = c('https://darwin-eu.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/darwin-eu/incidenceprevalence/issues
Last updated 5 days agofrom:7788148da5. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-win | OK | Nov 01 2024 |
R-4.5-linux | OK | Nov 01 2024 |
R-4.4-win | OK | Nov 01 2024 |
R-4.4-mac | OK | Nov 01 2024 |
R-4.3-win | OK | Nov 01 2024 |
R-4.3-mac | OK | Nov 01 2024 |
Exports:%>%attritionbenchmarkIncidencePrevalencebindcohortCodelistcohortCountestimateIncidenceestimatePeriodPrevalenceestimatePointPrevalenceexportSummarisedResultgenerateDenominatorCohortSetgenerateTargetDenominatorCohortSetimportSummarisedResultmockIncidencePrevalenceRefoptionsTableIncidenceoptionsTablePrevalenceplotIncidenceplotPrevalencesettingssuppresstableIncidencetableIncidenceAttritiontablePrevalencetablePrevalenceAttrition
Dependencies:backportsbitbit64blobCDMConnectorcheckmateclicliprclockcpp11crayonDBIdbplyrdiffobjdplyrfansifsgenericsgluehmsjsonlitelifecyclelubridatemagrittromopgenericsPatientProfilespillarpkgconfigprettyunitsprogresspurrrR6readrrematch2rlangsnakecasestringistringrtibbletidyrtidyselecttimechangetzdbutf8vctrsvisOmopResultsvroomwaldowithr
Introduction to IncidencePrevalence
Rendered froma01_Introduction_to_IncidencePrevalence.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2024-07-02
Started: 2023-01-27
Creating denominator cohorts
Rendered froma02_Creating_denominator_populations.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2024-10-14
Started: 2023-01-27
Creating target denominator populations
Rendered froma03_Creating_target_denominator_populations.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2024-07-02
Started: 2023-12-11
Calculating prevalence
Rendered froma04_Calculating_prevalence.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2024-10-14
Started: 2023-01-27
Calculating incidence
Rendered froma05_Calculating_incidence.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2024-10-14
Started: 2023-01-27
Plotting options
Rendered froma06_Plotting_options.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2024-07-02
Started: 2024-04-10
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Run benchmark of incidence and prevalence analyses | benchmarkIncidencePrevalence |
Collect population incidence estimates | estimateIncidence |
Estimate period prevalence | estimatePeriodPrevalence |
Estimate point prevalence | estimatePointPrevalence |
Identify a set of denominator populations | generateDenominatorCohortSet |
Identify a set of denominator populations using a target cohort | generateTargetDenominatorCohortSet |
Generate example subset of the OMOP CDM for estimating incidence and prevalence | mockIncidencePrevalenceRef |
Additional arguments for the functions tableIncidence. | optionsTableIncidence |
Additional arguments for the functions tablePrevalence. | optionsTablePrevalence |
Plot incidence results | plotIncidence |
Plot prevalence results | plotPrevalence |
Table of incidence results | tableIncidence |
Table of incidence attrition results | tableIncidenceAttrition |
Table of prevalence results | tablePrevalence |
Table of prevalence attrition results | tablePrevalenceAttrition |