target

Predefined target density corresponding to the population survival function
of GPTCM

Generalized promotion time cure model (GPTCM) via Bayesian hierarchical modeling for multiscale data integration (Zhao et al. (2025) <doi:10.48550/arXiv.2509.01001>). The Bayesian GPTCMs are applicable for both low- and high-dimensional data.

Zhi Zhao

GPTCM

Generalized Promotion Time Cure Model with Bayesian Shrinkage
Priors

target function

<dl><dt>x</dt>
<dd>value generated from the proposal distribution</dd>
<dt>theta</dt>
<dd>cure rate parameter (log scale)</dd>
<dt>proportion</dt>
<dd>proportions data</dd>
<dt>mu</dt>
<dd>mean survival time</dd>
<dt>kappas</dt>
<dd>Weibull's true shape parameter</dd></dl>

Arguments

Target density — target

<dl>

<dt>x</dt>
<dd>value generated from the proposal distribution</dd>


<dt>theta</dt>
<dd>cure rate parameter (log scale)</dd>


<dt>proportion</dt>
<dd>proportions data</dd>


<dt>mu</dt>
<dd>mean survival time</dd>


<dt>kappas</dt>
<dd>Weibull's true shape parameter</dd>

</dl>

target: Target density

Description

Usage

Value

Arguments

Examples