sim_data

A simulated dataset with 10000 observations from a lognormal mixutre
model with 2 componentes.

datasets

Bayesian Survival models via the mixture of Log-Normal distribution extends the well-known survival models and accommodates different behaviour over time and considers higher censored survival times. The proposal combines mixture distributions Fruhwirth-Schnatter(2006) <doi:10.1007/s11336-009-9121-4>, and data augmentation techniques Tanner and Wong (1987) <doi:10.1080/01621459.1987.10478458>.

Victor Hugo Soares Ney 

lnmixsurv

Bayesian Mixture Log-Normal Survival Model

Viviana das Graças Ribeiro Lobo 

Thaís Cristina Oliveira da Fonseca 

Mariane Branco Alves 

Vitor Capdeville 

sim_data function

<div class="section" id="sim-data">
<h3><code>sim_data</code></h3>
A list with two componentes:<ul>
<li>$data: A data frame with 10,000 rows and 3 columns:<dl>
<dt>y</dt>
<dd>observed survival time</dd><dt>delta</dt>
<dd>event indicator. 1 == event, 0 == censored.</dd><dt>x</dt>
<dd>binary covariate</dd>
</dl></li>
<li>$true_vals: A named vector with the true values used to generate the data.</li>
</ul></div>

Format

Simulated lognormal mixture data. — sim_data

<div class='section' id='sim-data'>
<h3><code>sim_data</code></h3>


A list with two componentes:<ul>
<li>$data: A data frame with 10,000 rows and 3 columns:<dl>
<dt>y</dt>
<dd>observed survival time</dd>

<dt>delta</dt>
<dd>event indicator. 1 == event, 0 == censored.</dd>

<dt>x</dt>
<dd>binary covariate</dd>


</dl></li>
<li>$true_vals: A named vector with the true values used to generate the data.</li>
</ul>

</div>

sim_data: Simulated lognormal mixture data.

Description

Usage

Arguments

Format

`sim_data`