llmix

Implements Bayesian estimation and inference for alpha-mixture survival models,
including Weibull and Exponential based components, with tools for simulation and posterior
summaries. The methods target applications in reliability and biomedical survival analysis.
The package implements Bayesian estimation for the alpha-mixture methodology introduced in
Asadi et al. (2019) <doi:10.1017/jpr.2019.72>.

Feng Luan

alpmixBayes

Bayesian Estimation for Alpha-Mixture Survival Models

Zhexuan Yang

Duchwan Ryu

llmix function

<dl><dt>d</dt>
<dd>Input data</dd>
<dt>init_values</dt>
<dd>Initial values</dd>
<dt>mcmc_values</dt>
<dd>MCMC parameters</dd>
<dt>prior</dt>
<dd>Prior distributions</dd></dl>

Arguments

Lognormal-Lognormal Mixture Model — llmix

<dl>

<dt>d</dt>
<dd>Input data</dd>


<dt>init_values</dt>
<dd>Initial values</dd>


<dt>mcmc_values</dt>
<dd>MCMC parameters</dd>


<dt>prior</dt>
<dd>Prior distributions</dd>

</dl>

llmix: Lognormal-Lognormal Mixture Model

Description

Usage

Value

Arguments