mcsurv

Observations made <code>tibble</code> on the head and neck cancer patients. Data for survMC function from SurviMChd package.

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

mcsurv function

A <code>tibble</code> with 15 columns which are :<dl>
<dt>OS</dt>
<dd>Overall Survival</dd><dt>Death</dt>
<dd>Death status</dd><dt>t</dt>
<dd>Time at which event occurred</dd><dt>x1</dt>
<dd>Variable measured on continuous scale</dd><dt>x2</dt>
<dd>Variable measured on discrete scale</dd><dt>x3</dt>
<dd>Variable measured on continuous scale</dd><dt>x4</dt>
<dd>Variable measured on discrete scale</dd><dt>x5</dt>
<dd>Variable measured on continuous scale</dd></dl>

Format

Metronomic cancer data — mcsurv

A <code>tibble</code> with 15 columns which are :<dl>
<dt>OS</dt>
<dd>Overall Survival</dd>

<dt>Death</dt>
<dd>Death status</dd>

<dt>t</dt>
<dd>Time at which event occurred</dd>

<dt>x1</dt>
<dd>Variable measured on continuous scale</dd>

<dt>x2</dt>
<dd>Variable measured on discrete scale</dd>

<dt>x3</dt>
<dd>Variable measured on continuous scale</dd>

<dt>x4</dt>
<dd>Variable measured on discrete scale</dd>

<dt>x5</dt>
<dd>Variable measured on continuous scale</dd>

</dl>

mcsurv: Metronomic cancer data

Description

Usage

Arguments

Format

Examples