R: Analysis of Doubly-Truncated Data

# Analysis of Doubly-Truncated Data

## Documentation for package ‘double.truncation’ version 1.8

- DESCRIPTION file

## Help Pages

double.truncation-package | Analysis of Doubly-Truncated Data
double.truncation | Analysis of Doubly-Truncated Data
GoF | Goodness-of-fit test based on the CvM and KS statistics
NPMLE | Nonparametric inference based on the self-consistency method
PMLE.loglogistic | Parametric Inference for the log-logistic model
PMLE.lognormal | Parametric Inference for the lognormal model
PMLE.SEF1.free | Parametric inference for the one-parameter SEF model (free parameter space)
PMLE.SEF1.negative | Parametric inference for the one-parameter SEF model (negative parameter space)
PMLE.SEF1.positive | Parametric Inference for the one-parameter SEF model (positive parameter space)
PMLE.SEF2.negative | Parametric Inference for the two-parameter SEF model (negative parameter space for eta_2)
PMLE.SEF3.free | Parametric Inference for the three-parameter SEF model (free parameter space for eta_3)
PMLE.SEF3.negative | Parametric Inference for the three-parameter SEF model (negative parameter space for eta_3)
PMLE.SEF3.positive | Parametric Inference for the three-parameter SEF model (positive parameter space for eta_3)
PMLE.Weibull | Parametric Inference for the Weibull model
simu.Weibull | Simulating doubly-truncated data from the Weibull model