plot.survival_ln_mixture_em

Visualizes the path of the EM algorithm

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 

plot.survival_ln_mixture_em function

<dl><dt>x</dt>
<dd>A fitted <code>survival_ln_mixture_em</code> object.</dd>
<dt>...</dt>
<dd>Not used.</dd></dl>

Arguments

Visualizes the path of the EM algorithm — plot.survival_ln_mixture_em

<dl>

<dt>x</dt>
<dd>A fitted <code>survival_ln_mixture_em</code> object.</dd>


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

</dl>

plot.survival_ln_mixture_em: Visualizes the path of the EM algorithm

Description

Usage

Value

Arguments