frailtyprior

This function allows one to add a frailty term to the linear predictor of semiparametric PH, PO and AFT models.

Provides several Bayesian survival models for spatial/non-spatial survival data: proportional hazards (PH), accelerated failure time (AFT), proportional odds (PO), and accelerated hazards (AH), a super model that includes PH, AFT, PO and AH as special cases, Bayesian nonparametric nonproportional hazards (LDDPM), generalized accelerated failure time (GAFT), and spatially smoothed Polya tree density estimation. The spatial dependence is modeled via frailties under PH, AFT, PO, AH and GAFT, and via copulas under LDDPM and PH. Model choice is carried out via the logarithm of the pseudo marginal likelihood (LPML), the deviance information criterion (DIC), and the Watanabe-Akaike information criterion (WAIC). See Zhou, Hanson and Zhang (2020) <doi:10.18637/jss.v092.i09>.

Haiming Zhou

spBayesSurv

Bayesian Modeling and Analysis of Spatially Correlated Survival
Data

Timothy Hanson

frailtyprior function

<dl> <dt>prior</dt>
<dd>a name string to be entered, e.g, <code>"car"</code>, <code>"iid"</code>, or <code>"grf"</code>; see the example in <code>frailtyGAFT</code> and <code>survregbayes2</code>.</dd> 
 <dt>...</dt>
<dd>Cluster ID to be entered for clustered data or locations for point-referenced data; see the example in <code>frailtyGAFT</code> and <code>survregbayes2</code>.</dd></dl>

Arguments

Author

Frailty prior specification — frailtyprior

<dl>

 <dt>prior</dt>
<dd>a name string to be entered, e.g, <code>"car"</code>, <code>"iid"</code>, or <code>"grf"</code>; see the example in <code>frailtyGAFT</code> and <code>survregbayes2</code>.</dd>

 
 <dt>...</dt>
<dd>Cluster ID to be entered for clustered data or locations for point-referenced data; see the example in <code>frailtyGAFT</code> and <code>survregbayes2</code>.</dd>

</dl>

frailtyprior: Frailty prior specification

Description

Usage

Arguments

Author