check_mcmc_diagnostics

Calculates convergence diagnostics including Gelman-Rubin statistics
and effective sample sizes for MCMC output

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 comparing different
spatial analysis methods including dasymetric mapping. All main functions return
S3 objects with print(), summary(), and plot() methods for intuitive result exploration.
Methods are described in Nethery et al. (2023) <doi:10.1101/2023.01.10.23284410>.
Further methodological details and software implementation are described in Qian et al. (in review).

Yunzhe Qian

spatialAtomizeR

Spatial Analysis with Misaligned Data Using Atom-Based
Regression Models

Rachel Nethery

Nancy Krieger

Nykesha Johnson

check_mcmc_diagnostics function

<dl><dt>mcmc_output</dt>
<dd>Output from NIMBLE MCMC containing samples</dd>
<dt>sim_metadata</dt>
<dd>Optional list with simulation metadata</dd></dl>

Arguments

Check MCMC Diagnostics — check_mcmc_diagnostics

<dl>

<dt>mcmc_output</dt>
<dd>Output from NIMBLE MCMC containing samples</dd>


<dt>sim_metadata</dt>
<dd>Optional list with simulation metadata</dd>

</dl>

check_mcmc_diagnostics: Check MCMC Diagnostics

Description

Usage

Value

Arguments