R: Statistical Methods for the Analysis of Dependently Truncated Data

# Statistical Methods for the Analysis of Dependently Truncated Data

## Documentation for package ‘depend.truncation’ version 3.0

- DESCRIPTION file.

## Help Pages

depend.truncation-package | Statistical Methods for the Analysis of Dependently Truncated Data
centenarian | Japanese Centenarians Data
CHAIEB.Clayton | Semi-parametric Inference under the Clayton Copula with Dependent Truncation
CHAIEB.Frank | Semi-parametric Inference under the Frank Copula with Dependent Truncation
depend.truncation | Statistical Methods for the Analysis of Dependently Truncated Data
dependAFT.reg | Semiparametric Inference for the AFT regression Model with Dependent Truncation
EMURA.Clayton | Semi-parametric Inference under the Clayton Copula with Dependent Truncation
EMURA.Frank | Semi-parametric Inference under the Frank Copula with Dependent Truncation
Logrank.stat | The weighted log-rank statistics for testing quasi-independence (without ties in data)
Logrank.stat.tie | The weighted log-rank statistics for testing quasi-independence (with ties in data)
NPMLE.Frank | Semiparametric Inference under the Frank Copula with Dependent Truncation
NPMLE.Indep | Semiparametric Inference under the Independence Copula with Dependent Truncation
NPMLE.Normal | Semiparametric Inference under the Normal Copula with Dependent Truncation
NPMLE.Plackett | Semiparametric Inference under the Plackett Copula with Dependent Truncation
PMLE.Clayton.Exponential | Parametric Inference for Bivariate Exponential Models with Dependent Truncation
PMLE.Clayton.Weibull | Parametric Inference for Bivariate Weibull Models with Dependent Truncation
PMLE.Normal | Parametric Inference for Bivariate Normal Models with Dependent Truncation