sim_car

<code>sim_car</code> returns a vector of CAR distributed random effects

'Stan' based functions to estimate CAR-MM models. These models allow to estimate Generalised Linear Models with CAR (conditional autoregressive) spatial random effects for spatially and temporally misaligned data, provided a suitable Multiple Membership matrix. The main references are Gramatica, Liverani and Congdon (2023) <doi:10.1214/23-BA1370>, Petrof, Neyens, Nuyts, Nackaerts, Nemery and Faes (2020) <doi:10.1002/sim.8697> and Gramatica, Congdon and Liverani <doi:10.1111/rssc.12480>.

Marco Gramatica

CARME

CAR-MM Modelling in Stan

Silvia Liverani

Peter Congdon

sim_car function

<dl><dt>W</dt>
<dd>Symmetric adjacency matrix of size <code>n</code></dd>
<dt>alpha</dt>
<dd>properness parameter between 0 and 1. Defaults to 0.5</dd>
<dt>tau</dt>
<dd>marginal precision. Defaults to 5</dd></dl>

Arguments

Simulation of proper CAR random effects — sim_car

<dl>

<dt>W</dt>
<dd>Symmetric adjacency matrix of size <code>n</code></dd>


<dt>alpha</dt>
<dd>properness parameter between 0 and 1. Defaults to 0.5</dd>


<dt>tau</dt>
<dd>marginal precision. Defaults to 5</dd>

</dl>

sim_car: Simulation of proper CAR random effects

Description

Usage

Value

Arguments

References

Examples