derivindepGaussianprior

A function for evaluating the first and second derivatives of the log of an independent Gaussian prior

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

derivindepGaussianprior function

<dl><dt>beta</dt>
<dd>a vector, the parameter beta</dd>
<dt>omega</dt>
<dd>a vector, the parameter omega</dd>
<dt>eta</dt>
<dd>a vector, the parameter eta</dd>
<dt>priors</dt>
<dd>an object of class 'mcmcPrior', see ?mcmcPrior</dd></dl>

Arguments

derivindepGaussianprior function — derivindepGaussianprior

<dl>

<dt>beta</dt>
<dd>a vector, the parameter beta</dd>


<dt>omega</dt>
<dd>a vector, the parameter omega</dd>


<dt>eta</dt>
<dd>a vector, the parameter eta</dd>


<dt>priors</dt>
<dd>an object of class 'mcmcPrior', see ?mcmcPrior</dd>

</dl>

derivindepGaussianprior: derivindepGaussianprior function

Description

Usage

Value

Arguments

See Also