Introduction | Example: Follicular cell lymphoma study | Acknowledgements
Package: cmprskcoxmsm 0.2.1
Yiran Zhang
cmprskcoxmsm: Use IPW to Estimate Treatment Effect under Competing Risks
Uses inverse probability weighting methods to estimate treatment effect under marginal structure model for the cause-specific hazard of competing risk events. Estimates also the cumulative incidence function (i.e. risk) of the potential outcomes, and provides inference on risk difference and risk ratio. Reference: Kalbfleisch & Prentice (2002)<doi:10.1002/9781118032985>; Hernan et al (2001)<doi:10.1198/016214501753168154>.
Authors:
cmprskcoxmsm_0.2.1.tar.gz
cmprskcoxmsm_0.2.1.tar.gz(r-4.7-any)cmprskcoxmsm_0.2.1.tar.gz(r-4.6-any)
cmprskcoxmsm_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
cmprskcoxmsm/json (API)
| # Install 'cmprskcoxmsm' in R: |
| install.packages('cmprskcoxmsm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- follic - Follicular cell lymphoma study
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:f0ea9d2404. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 144 | ||
| source / vignettes | OK | 232 | ||
| linux-release-x86_64 | OK | 150 | ||
| wasm-release | OK | 141 |
Exports:cif_estdoPSplot_est_cifplot.PSpvalFormatweight_cause_cox
Dependencies:clicpp11data.tableDBIdeldirfarvergbmggplot2gluegtableinterpisobandjpegjsonlitelabelinglatticelatticeExtralifecycleMASSMatrixMatrixModelsminqamitoolsnumDerivpngR6RColorBrewerRcppRcppArmadilloRcppEigenrlangS7sandwichscalessurveysurvivaltwangvctrsviridisLitewithrxgboostxtablezoo
