Bvprob                  Compute bivariate survival probability
CompC                   Compute phi function
DYJtrans                Derivative of the Yeo-Johnson transformation
                        function
Distance                Distance between vectors
IYJtrans                Inverse Yeo-Johnson transformation function
Kernel                  Calculate the kernel function
LikCopInd               Loglikehood function under independent
                        censoring
LikF.cmprsk             Second step log-likelihood function.
LikGamma1               First step log-likelihood function for Z
                        continuous
LikGamma2               First step log-likelihood function for Z
                        binary.
LikI.bis                Second likelihood function needed to fit the
                        independence model in the second step of the
                        estimation procedure.
LikI.cmprsk             Second step log-likelihood function under
                        independence assumption.
LikI.cmprsk.Cholesky    Wrapper implementing likelihood function
                        assuming independence between competing risks
                        and censoring using Cholesky factorization.
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
LongNPT                 Change H to long format
Longfun                 Long format
NonParTrans             Fit a semiparametric transformation model for
                        dependent censoring
ParamCop                Estimation of a parametric dependent censoring
                        model without covariates.
Parameters.Constraints
                        Generate constraints of parameters
PseudoL                 Likelihood function under dependent censoring
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
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).
YJtrans                 Yeo-Johnson transformation function
boot.fun                Nonparametric bootstrap approach for the
                        dependent censoring model
boot.funI               Nonparametric bootstrap approach for the
                        independent censoring model
boot.nonparTrans        Nonparametric bootstrap approach for a
                        Semiparametric transformation model under
                        dependent censpring
chol2par                Transform Cholesky decomposition to covariance
                        matrix
chol2par.elem           Transform Cholesky decomposition to covariance
                        matrix parameter element.
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
cr.lik                  Competing risk likelihood function.
dat.sim.reg.comp.risks
                        Data generation function for competing risks
                        data
dchol2par               Derivative of transform Cholesky decomposition
                        to covariance matrix.
dchol2par.elem          Derivative of transform Cholesky decomposition
                        to covariance matrix element.
estimate.cf             Estimate the control function
estimate.cmprsk         Estimate the competing risks model of Rutten,
                        Willems et al. (20XX).
fitDepCens              Fit Dependent Censoring Models
fitIndepCens            Fit Independent Censoring Models
generator.Archimedean   The generator function of the Archimedean
                        copula
ktau.to.coppar          Convert the Kendall's tau into the copula
                        parameter
likF.cmprsk.Cholesky    Wrapper implementing likelihood function using
                        Cholesky factorization.
likIFG.cmprsk.Cholesky
                        Full likelihood (including estimation of
                        control function).
log_transform           Logarithmic transformation function.
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.
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
power_transform         Power transformation function.
summary.depFit          Summary of 'depCensoringFit' object
summary.indepFit        Summary of 'indepCensoringFit' object
uniformize.data         Standardize data format
variance.cmprsk         Compute the variance of the estimates.
