frailty

Data set listing institutional wise survival outcomes
Survival observations data for frailty model functions of SurviMChd

datasets

High dimensional survival data analysis with Markov Chain Monte Carlo(MCMC).
Currently supports frailty data analysis. Allows for Weibull and
Exponential distribution. Includes function for interval censored data.

Atanu Bhattacharjee

SurviMChd

High Dimensional Survival Data Analysis with Markov Chain Monte
Carlo

Akash Pawar

frailty function

A <code>tibble</code> with 7 columns and 272 rows which are :<dl>
<dt>institute</dt>
<dd>Institute of the sample observations</dd><dt>del</dt>
<dd>Numberic values 0 or 1 containing death/event information</dd><dt>timevar</dt>
<dd>Survival duration</dd><dt>time.min</dt>
<dd>Minimum survival</dd><dt>female</dt>
<dd>Covariate_1, gender variable indicating either a female or not</dd><dt>ph.karno</dt>
<dd>Covariate_2</dd><dt>pat.karno</dt>
<dd>Covariate_3</dd></dl>

Format

Frailty in high dimensional survival data. — frailty

A <code>tibble</code> with 7 columns and 272 rows which are :<dl>
<dt>institute</dt>
<dd>Institute of the sample observations</dd>

<dt>del</dt>
<dd>Numberic values 0 or 1 containing death/event information</dd>

<dt>timevar</dt>
<dd>Survival duration</dd>

<dt>time.min</dt>
<dd>Minimum survival</dd>

<dt>female</dt>
<dd>Covariate_1, gender variable indicating either a female or not</dd>

<dt>ph.karno</dt>
<dd>Covariate_2</dd>

<dt>pat.karno</dt>
<dd>Covariate_3</dd>

</dl>

frailty: Frailty in high dimensional survival data.

Description

Usage

Arguments

Format

Examples