chernoff_realizations

A dataframe containing computed chernoff distribution

datasets

A tool for nonparametric estimation and inference of a non-decreasing monotone hazard
ratio from a right censored survival dataset. The
estimator is based on a generalized Grenander typed estimator, and the
inference procedure relies on direct plugin estimation of a first order derivative. More
details please refer to the paper "Nonparametric inference under a monotone
hazard ratio order" by Y. Wu and T. Westling (2022) <arXiv:2205.01745>.

Yujian Wu

MonotoneHazardRatio

Nonparametric Estimation and Inference of a Monotone Hazard
Ratio Function

chernoff_realizations function

A data frame with 201 rows and 3 variables:<dl>
 <dt>xcoor</dt>
<dd>domain on which chernoff distribution if computed</dd> <dt>DF</dt>
<dd>Distribution function of the Chernoff distribution</dd> <dt>density</dt>
<dd>Density of the Chernoff distribution</dd>
</dl>

Format

A dataframe containing computed chernoff distribution — chernoff_realizations

A data frame with 201 rows and 3 variables:<dl>
 <dt>xcoor</dt>
<dd>domain on which chernoff distribution if computed</dd>

 <dt>DF</dt>
<dd>Distribution function of the Chernoff distribution</dd>

 <dt>density</dt>
<dd>Density of the Chernoff distribution</dd>


</dl>

chernoff_realizations: A dataframe containing computed chernoff distribution

Description

Usage

Arguments

Format