Statistical Methods for Survival Data with Dependent Censoring
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Documentation for package ‘depCensoring’ version 0.1.8
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| boot.nonparTrans | Nonparametric bootstrap approach for a Semiparametric transformation model under dependent censpring |
| Bvprob | Compute bivariate survival probability |
| Chronometer | Chronometer object |
| control.arguments | Prepare initial values within the control arguments |
| copdist.Archimedean | The distribution function of the Archimedean copula |
| cophfunc | The h-function of the copula |
| coppar.to.ktau | Convert the copula parameter the Kendall's tau |
| Distance | Distance between vectors |
| estimate.cmprsk | Estimate the competing risks model of Willems et al. (2025). |
| fitDepCens | Fit Dependent Censoring Models |
| fitIndepCens | Fit Independent Censoring Models |
| generator.Archimedean | The generator function of the Archimedean copula |
| Kernel | Calculate the kernel function |
| ktau.to.coppar | Convert the Kendall's tau into the copula parameter |
| Likelihood.Parametric | Calculate the likelihood function for the fully parametric joint distribution |
| Likelihood.Profile.Kernel | Calculate the profiled likelihood function with kernel smoothing |
| Likelihood.Profile.Solve | Solve the profiled likelihood function |
| Likelihood.Semiparametric | Calculate the semiparametric version of profiled likelihood function |
| liver | Liver cirrhosis data set. |
| loglike.clayton.unconstrained | Log-likelihood function for the Clayton copula. |
| loglike.frank.unconstrained | Log-likelihood function for the Frank copula. |
| loglike.gaussian.unconstrained | Log-likelihood function for the Gaussian copula. |
| loglike.gumbel.unconstrained | Log-likelihood function for the Gumbel copula. |
| loglike.indep.unconstrained | Log-likelihood function for the independence copula. |
| LongNPT | Change H to long format |
| NonParTrans | Fit a semiparametric transformation model for dependent censoring |
| optimlikelihood | Fit the dependent censoring models. |
| parafam.d | Obtain the value of the density function |
| parafam.p | Obtain the value of the distribution function |
| parafam.trunc | Obtain the adjustment value of truncation |
| ParamCop | Estimation of a parametric dependent censoring model without covariates. |
| Parameters.Constraints | Generate constraints of parameters |
| pi.surv | Estimate the model of Willems et al. (2025). |
| QRdepCens | Estimate the model of D'Haen et al. (2025). |
| ScoreEqn | Score equations of finite parameters |
| SearchIndicate | Search function |
| SolveH | Estimate a nonparametric transformation function |
| SolveHt1 | Estimating equation for Ht1 |
| SolveL | Cumulative hazard function of survival time under dependent censoring |
| SolveLI | Cumulative hazard function of survival time under independent censoring |
| SolveScore | Estimate finite parameters based on score equations |
| summary.depFit | Summary of 'depCensoringFit' object |
| summary.indepFit | Summary of 'indepCensoringFit' object |
| SurvDC | Semiparametric Estimation of the Survival Function under Dependent Censoring |
| SurvDC.GoF | Calculate the goodness-of-fit test statistic |
| SurvFunc.CG | Estimated survival function based on copula-graphic estimator (Archimedean copula only) |
| SurvFunc.KM | Estimated survival function based on Kaplan-Meier estimator |
| SurvMLE | Maximum likelihood estimator for a given parametric distribution |
| SurvMLE.Likelihood | Likelihood for a given parametric distribution |
| TCsim | Function to simulate (Y,Delta) from the copula based model for (T,C). |