augment.survival_ln_mixture

Include information about hazard and survival distribution for each individual
in a dataset.

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 

augment.survival_ln_mixture function

<dl><dt>x</dt>
<dd>A <code>survival_ln_mixture</code> object.</dd>
<dt>newdata</dt>
<dd>A <code><a href="/link/base%3A%3Adata.frame()?package=lnmixsurv&version=3.1.6" data-mini-rdoc="lnmixsurv::base::data.frame()">base::data.frame()</a></code> or <code>tibble::tiblle()</code> containing all
the original predictors used to create x.</dd>
<dt>eval_time</dt>
<dd>a vector with the times where the hazard and survival distribuition
will be evaluated.</dd>
<dt>...</dt>
<dd>Not used.</dd></dl>

Arguments

Augment data with information from a survival_ln_mixture object — augment.survival_ln_mixture

<dl>

<dt>x</dt>
<dd>A <code>survival_ln_mixture</code> object.</dd>


<dt>newdata</dt>
<dd>A <code><a href='https://rdrr.io/r/base/data.frame.html'>base::data.frame()</a></code> or <code>tibble::tiblle()</code> containing all
the original predictors used to create x.</dd>


<dt>eval_time</dt>
<dd>a vector with the times where the hazard and survival distribuition
will be evaluated.</dd>


<dt>...</dt>
<dd>Not used.</dd>

</dl>

augment.survival_ln_mixture: Augment data with information from a survival_ln_mixture object

Description

Usage

Value

Arguments