Package: geecure 1.0-6
geecure: Marginal Proportional Hazards Mixture Cure Models with Generalized Estimating Equations
Features the marginal parametric and semi-parametric proportional hazards mixture cure models for analyzing clustered survival data with a possible cure fraction. A reference is Yi Niu and Yingwei Peng (2014) <doi:10.1016/j.jmva.2013.09.003>.
Authors:
geecure_1.0-6.tar.gz
geecure_1.0-6.zip(r-4.5)geecure_1.0-6.zip(r-4.4)geecure_1.0-6.zip(r-4.3)
geecure_1.0-6.tgz(r-4.4-any)geecure_1.0-6.tgz(r-4.3-any)
geecure_1.0-6.tar.gz(r-4.5-noble)geecure_1.0-6.tar.gz(r-4.4-noble)
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geecure.pdf |geecure.html✨
geecure/json (API)
| # Install 'geecure' in R: |
| install.packages('geecure', repos = c('https://yiniu06.r-universe.dev', 'https://cloud.r-project.org')) |
- bmt - Bone marrow transplantation data
- smoking - A Smoking Cessation Data
- tonsil - Multi-Center Clinical Trial of Tonsil Carcinoma
- tonsil_bootsample - A bootstrap sample for tonsil data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:5c353373f8. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 27 2024 |
| R-4.5-win | OK | Oct 27 2024 |
| R-4.5-linux | OK | Oct 27 2024 |
| R-4.4-win | OK | Oct 27 2024 |
| R-4.4-mac | OK | Oct 27 2024 |
| R-4.3-win | OK | Oct 27 2024 |
| R-4.3-mac | OK | Oct 27 2024 |
Exports:basesurvemesesgeebtgeecuregeecure2geegainitial_Lambdaprint.geecureprint.geecure2varestvarest2
Dependencies:backportsbroomclicpp11dplyrfansigeepackgenericsgluelatticelifecyclemagrittrMASSMatrixpillarpkgconfigpurrrR6rlangstringistringrsurvivaltibbletidyrtidyselectutf8vctrswithr
