Package: CaseCohortCoxSurvival 0.0.36
CaseCohortCoxSurvival: Case-Cohort Cox Survival Inference
Cox model inference for relative hazard and covariate-specific pure risk estimated from stratified and unstratified case-cohort data as described in Etievant, L., Gail, M.H. (Lifetime Data Analysis, 2024) <doi:10.1007/s10985-024-09621-2>.
Authors:
CaseCohortCoxSurvival_0.0.36.tar.gz
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CaseCohortCoxSurvival.pdf |CaseCohortCoxSurvival.html✨
CaseCohortCoxSurvival/json (API)
# Install 'CaseCohortCoxSurvival' in R: |
install.packages('CaseCohortCoxSurvival', repos = c('https://etievant.r-universe.dev', 'https://cloud.r-project.org')) |
- dataexample - [Deprecated] Data for examples
- dataexample.missingdata - [Deprecated] Data for examples with missing data
- dataexample.missingdata.stratified - Example of case-cohort with stratified sampling of the subcohort and missing covariate information in phase-two data
- dataexample.missingdata.unstratified - Example of case-cohort with unstratified sampling of the subcohort and missing covariate information in phase-two data
- dataexample.stratified - Example of case-cohort with stratified sampling of the subcohort, and set of auxiliary variables
- dataexample.unstratified - Example of case-cohort with unstratified sampling of the subcohort, and set of auxiliary variables
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:4bf498e51a. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 23 2024 |
R-4.5-win-x86_64 | OK | Nov 23 2024 |
R-4.5-linux-x86_64 | OK | Nov 23 2024 |
R-4.4-win-x86_64 | OK | Nov 23 2024 |
R-4.4-mac-x86_64 | OK | Nov 23 2024 |
R-4.4-mac-aarch64 | OK | Nov 23 2024 |
R-4.3-win-x86_64 | OK | Nov 23 2024 |
R-4.3-mac-x86_64 | OK | Nov 23 2024 |
R-4.3-mac-aarch64 | OK | Nov 23 2024 |
Exports:auxiliary.constructioncalibrationcaseCohortCoxSurvivalestimatePureRiskestimationestimation.CumBHestimation.PRestimation.weights.phase3influencesinfluences.CumBHinfluences.CumBH.missingdatainfluences.missingdatainfluences.PRinfluences.PR.missingdatainfluences.RHinfluences.RH.missingdataproduct.covar.weightrobustvariancevariancevariance.missingdata