NonSpatialLogLikelihood_or_gradient

A function to evaluate the log-likelihood of a non-spatial parametric proportional hazards model. Not intended for general use.

Bayesian inference for parametric proportional hazards spatial
survival models; flexible spatial survival models. See Benjamin M. Taylor, Barry S. Rowlingson (2017) <doi:10.18637/jss.v077.i04>.

Benjamin Taylor

spatsurv

Bayesian Spatial Survival Analysis with Parametric Proportional
Hazards Models

NonSpatialLogLikelihood_or_gradient function

<dl><dt>surv</dt>
<dd>an object of class Surv</dd>
<dt>X</dt>
<dd>the design matrix, containing covariate information</dd>
<dt>beta</dt>
<dd>parameter beta</dd>
<dt>omega</dt>
<dd>parameter omega</dd>
<dt>control</dt>
<dd>a list containg various control parameters for the MCMC and post-processing routines</dd>
<dt>loglikelihood</dt>
<dd>logical whether to evaluate the log-likelihood</dd>
<dt>gradient</dt>
<dd>logical whether to evaluate the gradient</dd></dl>

Arguments

NonSpatialLogLikelihood_or_gradient function — NonSpatialLogLikelihood_or_gradient

<dl>

<dt>surv</dt>
<dd>an object of class Surv</dd>


<dt>X</dt>
<dd>the design matrix, containing covariate information</dd>


<dt>beta</dt>
<dd>parameter beta</dd>


<dt>omega</dt>
<dd>parameter omega</dd>


<dt>control</dt>
<dd>a list containg various control parameters for the MCMC and post-processing routines</dd>


<dt>loglikelihood</dt>
<dd>logical whether to evaluate the log-likelihood</dd>


<dt>gradient</dt>
<dd>logical whether to evaluate the gradient</dd>

</dl>

NonSpatialLogLikelihood_or_gradient: NonSpatialLogLikelihood_or_gradient function

Description

Usage

Value

Arguments

References