gen_correlated_spat

Generate Correlated Spatial Effects

Implements atom-based regression models (ABRM) for analyzing spatially
misaligned data. Provides functions for simulating misaligned spatial data,
preparing NIMBLE model inputs, running MCMC diagnostics, and providing results. All main functions return
S3 objects with print(), summary(), and plot() methods for intuitive result exploration.
Methods originally described in Mugglin et al. (2000) <doi:10.1080/01621459.2000.10474279>,
further investigated in Trevisani & Gelfand (2013), and applied in Nethery et al. (2023)
<doi:10.1101/2023.01.10.23284410>.

Yunzhe Qian

spatialAtomizeR

Spatial Analysis with Misaligned Data Using Atom-Based
Regression Models

Rachel Nethery

Nancy Krieger

Nykesha Johnson

gen_correlated_spat function

<dl><dt>W</dt>
<dd>Spatial adjacency matrix</dd>
<dt>n_vars</dt>
<dd>Number of variables</dd>
<dt>rho</dt>
<dd>Spatial correlation parameter (default = 0.6)</dd>
<dt>var_spat</dt>
<dd>Spatial variance (default = 1)</dd>
<dt>correlation</dt>
<dd>Correlation between variables (default = 0.5)</dd>
<dt>verify</dt>
<dd>Logical for verification (default = FALSE)</dd></dl>

Arguments

Generate Correlated Spatial Effects — gen_correlated_spat

<dl>

<dt>W</dt>
<dd>Spatial adjacency matrix</dd>


<dt>n_vars</dt>
<dd>Number of variables</dd>


<dt>rho</dt>
<dd>Spatial correlation parameter (default = 0.6)</dd>


<dt>var_spat</dt>
<dd>Spatial variance (default = 1)</dd>


<dt>correlation</dt>
<dd>Correlation between variables (default = 0.5)</dd>


<dt>verify</dt>
<dd>Logical for verification (default = FALSE)</dd>

</dl>

gen_correlated_spat: Generate Correlated Spatial Effects

Description

Usage

Value

Arguments