Package: SemiPar.depCens 0.1.3
SemiPar.depCens: Copula Based Cox Proportional Hazards Models for Dependent Censoring
Copula based Cox proportional hazards models for survival data subject to dependent censoring. This approach does not assume that the parameter defining the copula is known. The dependency parameter is estimated with other finite model parameters by maximizing a Pseudo likelihood function. The cumulative hazard function is estimated via estimating equations derived based on martingale ideas. Available copula functions include Frank, Gumbel and Normal copulas. Only Weibull and lognormal models are allowed for the censoring model, even though any parametric model that satisfies certain identifiability conditions could be used. Implemented methods are described in the article "Copula based Cox proportional hazards models for dependent censoring" by Deresa and Van Keilegom (2024) <doi:10.1080/01621459.2022.2161387>.
Authors:
SemiPar.depCens_0.1.3.tar.gz
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SemiPar.depCens_0.1.3.tgz(r-4.4-any)SemiPar.depCens_0.1.3.tgz(r-4.3-any)
SemiPar.depCens_0.1.3.tar.gz(r-4.5-noble)SemiPar.depCens_0.1.3.tar.gz(r-4.4-noble)
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SemiPar.depCens.pdf |SemiPar.depCens.html✨
SemiPar.depCens/json (API)
NEWS
| # Install 'SemiPar.depCens' in R: |
| install.packages('SemiPar.depCens', repos = c('https://nago2020.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/nago2020/semipar.depcens/issues
- follic - Follicular Cell Lymphoma
Last updated 22 days agofrom:9a3b3d0070. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 26 2024 |
| R-4.5-win | OK | Aug 26 2024 |
| R-4.5-linux | OK | Aug 26 2024 |
| R-4.4-win | OK | Aug 26 2024 |
| R-4.4-mac | OK | Aug 26 2024 |
| R-4.3-win | OK | Aug 26 2024 |
| R-4.3-mac | OK | Aug 26 2024 |
Exports:fitDepCensfitIndepCensSolveLSolveLI
Dependencies:ADGofTestcodetoolscolorspacecopuladoParallelforeachgsliteratorslatticeMatrixmvtnormnumDerivpbivnormpcaPPpsplinestabledistsurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Nonparametric bootstrap approach for the dependent censoring model | boot.fun |
| Nonparametric bootstrap approach for the independent censoring model | boot.funI |
| Compute phi function | CompC |
| Distance between vectors | Distance |
| Fit Dependent Censoring Models | fitDepCens |
| Fit Independent Censoring Models | fitIndepCens |
| Follicular Cell Lymphoma | follic |
| Simulate a toy example for testing | genData |
| Loglikehood function under independent censoring | LikCopInd |
| Long format | Longfun |
| Likelihood function under dependent censoring | PseudoL |
| Search function | SearchIndicate |
| Cumulative hazard function of survival time under dependent censoring | SolveL |
| Cumulative hazard function of survival time under independent censoring | SolveLI |
| Summary of 'depCensoringFit' object | summary.depFit |
| Summary of 'indepCensoringFit' object | summary.indepFit |
