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README.html
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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta charset="utf-8">
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
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code .pp { color: #999999; }
code .at { color: #008080; }
code .do { color: #969896; }
code .an { color: #008080; }
code .cv { color: #008080; }
code .in { color: #008080; }
</style>
<style>
body {
box-sizing: border-box;
min-width: 200px;
max-width: 980px;
margin: 0 auto;
padding: 45px;
padding-top: 0px;
}
</style>
</head>
<body>
<!-- README.md is generated from README.Rmd. Please edit that file -->
<img 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" align="right" width="160" />
<h2 id="geostan-bayesian-spatial-analysis">geostan: Bayesian spatial analysis</h2>
<p>The <a href="https://connordonegan.github.io/geostan/"><strong>geostan</strong></a> R package supports a complete spatial analysis workflow with Bayesian models for areal data, including a suite of functions for visualizing spatial data and model results. <strong>geostan</strong> models were built using <a href="https://mc-stan.org"><strong>Stan</strong></a>, a state-of-the-art platform for Bayesian modeling. The package is designed partly for public health research with spatial data, for which it complements the <a href="https://connordonegan.github.io/surveil/"><strong>surveil</strong></a> R package for time series analysis of public health surveillance data.</p>
<p>Features include:</p>
<ul>
<li><strong>Disease mapping and spatial regression</strong> Statistical models for data recorded across areal units like states, counties, or census tracts.</li>
<li><strong>Spatial analysis tools</strong> Tools for visualizing and measuring spatial autocorrelation and map patterns, for exploratory analysis and model diagnostics.</li>
<li><strong>Observational uncertainty</strong> Incorporate information on data reliability, such as standard errors of American Community Survey estimates, into any <strong>geostan</strong> model.</li>
<li><strong>Missing and Censored observations</strong> Vital statistics and disease surveillance systems like CDC Wonder censor case counts that fall below a threshold number; <strong>geostan</strong> can model disease or mortality risk for small areas with censored observations or with missing observations.</li>
<li><strong>The RStan ecosystem</strong> Interfaces easily with many high-quality R packages for Bayesian modeling.</li>
<li><strong>Custom spatial models</strong> Tools for building custom spatial models in <a href="https://mc-stan.org/">Stan</a>.</li>
</ul>
<h2 id="installation">Installation</h2>
<p>Using your R console, you can install <strong>geostan</strong> from CRAN:</p>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true"></a><span class="kw">install.packages</span>(<span class="st">"geostan"</span>)</span></code></pre></div>
<p>Or, you can install the latest version from the package github repository:</p>
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true"></a><span class="cf">if</span> (<span class="op">!</span><span class="kw">require</span>(<span class="st">'devtools'</span>)) <span class="kw">install.packages</span>(<span class="st">'devtools'</span>)</span>
<span id="cb2-2"><a href="#cb2-2" aria-hidden="true"></a>devtools<span class="op">::</span><span class="kw">install_github</span>(<span class="st">"connordonegan/geostan"</span>)</span></code></pre></div>
<p>If you are using Windows and installing with <code>install_github</code>, you may need to install <a href="https://cran.r-project.org/bin/windows/Rtools/">Rtools</a> first (this is not needed when installing from CRAN). To install Rtools:</p>
<ol>
<li>Visit the Rtools site: <a href="https://cran.r-project.org/bin/windows/Rtools/">https://cran.r-project.org/bin/windows/Rtools/</a></li>
<li>Select the version that corresponds to the version of R that you have installed (e.g., R 4.3).</li>
<li>After selecting the correct version, look for the “Install Rtools” section (just below the introductory text) and click on the “installer” to download it. For example, for Rtools43 (for R version 4.3), click on “<span style="color:blue">Rtools43 installer</span>.”</li>
<li>Go to the <code>.exe</code> file you just downloaded and double-click to begin installation of Rtools.</li>
</ol>
<h2 id="support">Support</h2>
<p>All functions and methods are documented (with examples) on the website <a href="https://connordonegan.github.io/geostan/reference/index.html">reference</a> page. See the package <a href="https://connordonegan.github.io/geostan/articles/index.html">vignettes</a> for more on exploratory spatial analysis, spatial measurement error models, spatial regression with raster layers, and building custom spatial model in Stan.</p>
<p>To ask questions, report a bug, or discuss ideas for improvements or new features please visit the <a href="https://github.com/ConnorDonegan/geostan/issues">issues</a> page, start a <a href="https://github.com/ConnorDonegan/geostan/discussions">discussion</a>, or submit a <a href="https://github.com/ConnorDonegan/geostan/pulls">pull request</a>.</p>
<h2 id="usage">Usage</h2>
<p>Load the package and the <code>georgia</code> county mortality data set:</p>
<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true"></a><span class="kw">library</span>(geostan)</span>
<span id="cb3-2"><a href="#cb3-2" aria-hidden="true"></a><span class="co">#> This is geostan version 0.6.0</span></span>
<span id="cb3-3"><a href="#cb3-3" aria-hidden="true"></a><span class="kw">data</span>(georgia)</span></code></pre></div>
<p>This has county population and mortality data by sex for ages 55-64, and for the period 2014-2018. As is common for public access data, some of the observations missing because the CDC has censored them.</p>
<p>The <code>sp_diag</code> function provides visual summaries of spatial data, including a histogram, Moran scatter plot, and map. Here is a visual summary of crude female mortality rates (as deaths per 10,000):</p>
<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true"></a>A <-<span class="st"> </span><span class="kw">shape2mat</span>(georgia, <span class="dt">style =</span> <span class="st">"B"</span>)</span>
<span id="cb4-2"><a href="#cb4-2" aria-hidden="true"></a>mortality_rate <-<span class="st"> </span>georgia<span class="op">$</span>rate.female <span class="op">*</span><span class="st"> </span><span class="fl">10e3</span></span>
<span id="cb4-3"><a href="#cb4-3" aria-hidden="true"></a><span class="kw">sp_diag</span>(mortality_rate, georgia, <span class="dt">w =</span> A)</span>
<span id="cb4-4"><a href="#cb4-4" aria-hidden="true"></a><span class="co">#> 3 NA values found in x will be dropped from data x and matrix w</span></span>
<span id="cb4-5"><a href="#cb4-5" aria-hidden="true"></a><span class="co">#> Warning: Removed 3 rows containing non-finite outside the scale range</span></span>
<span id="cb4-6"><a href="#cb4-6" aria-hidden="true"></a><span class="co">#> (`stat_bin()`).</span></span></code></pre></div>
<img 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" 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<p>The following code fits a spatial conditional autoregressive (CAR) model to female county mortality data. These models are used for estimating disease risk in small areas like counties, and for analyzing covariation of health outcomes with other area qualities. The R syntax for fitting the models is similar to using <code>lm</code> or <code>glm</code>. We provide the population at risk (the denominator for mortality rates) as an offset term, using the log-transform. In this case, three of the observations are missing because they have been censored; per CDC criteria, this means that there were 9 or fewer deaths in those counties. By using the <code>censor_point</code> argument and setting it to <code>censor_point = 9</code>, the model will account for the censoring process when providing estimates of the mortality rates:</p>
<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true"></a>cars <-<span class="st"> </span><span class="kw">prep_car_data</span>(A)</span>
<span id="cb5-2"><a href="#cb5-2" aria-hidden="true"></a><span class="co">#> Range of permissible rho values: -1.661134 1</span></span>
<span id="cb5-3"><a href="#cb5-3" aria-hidden="true"></a>fit <-<span class="st"> </span><span class="kw">stan_car</span>(deaths.female <span class="op">~</span><span class="st"> </span><span class="kw">offset</span>(<span class="kw">log</span>(pop.at.risk.female)),</span>
<span id="cb5-4"><a href="#cb5-4" aria-hidden="true"></a> <span class="dt">censor_point =</span> <span class="dv">9</span>,</span>
<span id="cb5-5"><a href="#cb5-5" aria-hidden="true"></a> <span class="dt">data =</span> georgia,</span>
<span id="cb5-6"><a href="#cb5-6" aria-hidden="true"></a> <span class="dt">car_parts =</span> cars,</span>
<span id="cb5-7"><a href="#cb5-7" aria-hidden="true"></a> <span class="dt">family =</span> <span class="kw">poisson</span>(),</span>
<span id="cb5-8"><a href="#cb5-8" aria-hidden="true"></a> <span class="dt">cores =</span> <span class="dv">4</span>, <span class="co"># for multi-core processing</span></span>
<span id="cb5-9"><a href="#cb5-9" aria-hidden="true"></a> <span class="dt">refresh =</span> <span class="dv">0</span>) <span class="co"># to silence some printing</span></span>
<span id="cb5-10"><a href="#cb5-10" aria-hidden="true"></a><span class="co">#> 3 NA values identified in the outcome variable</span></span>
<span id="cb5-11"><a href="#cb5-11" aria-hidden="true"></a><span class="co">#> Found in rows: 55, 126, 157</span></span>
<span id="cb5-12"><a href="#cb5-12" aria-hidden="true"></a><span class="co">#> </span></span>
<span id="cb5-13"><a href="#cb5-13" aria-hidden="true"></a><span class="co">#> *Setting prior parameters for intercept</span></span>
<span id="cb5-14"><a href="#cb5-14" aria-hidden="true"></a><span class="co">#> Distribution: normal</span></span>
<span id="cb5-15"><a href="#cb5-15" aria-hidden="true"></a><span class="co">#> location scale</span></span>
<span id="cb5-16"><a href="#cb5-16" aria-hidden="true"></a><span class="co">#> 1 -4.7 5</span></span>
<span id="cb5-17"><a href="#cb5-17" aria-hidden="true"></a><span class="co">#> </span></span>
<span id="cb5-18"><a href="#cb5-18" aria-hidden="true"></a><span class="co">#> *Setting prior for CAR scale parameter (car_scale)</span></span>
<span id="cb5-19"><a href="#cb5-19" aria-hidden="true"></a><span class="co">#> Distribution: student_t</span></span>
<span id="cb5-20"><a href="#cb5-20" aria-hidden="true"></a><span class="co">#> df location scale</span></span>
<span id="cb5-21"><a href="#cb5-21" aria-hidden="true"></a><span class="co">#> 1 10 0 3</span></span>
<span id="cb5-22"><a href="#cb5-22" aria-hidden="true"></a><span class="co">#> </span></span>
<span id="cb5-23"><a href="#cb5-23" aria-hidden="true"></a><span class="co">#> *Setting prior for CAR spatial autocorrelation parameter (car_rho)</span></span>
<span id="cb5-24"><a href="#cb5-24" aria-hidden="true"></a><span class="co">#> Distribution: uniform</span></span>
<span id="cb5-25"><a href="#cb5-25" aria-hidden="true"></a><span class="co">#> lower upper</span></span>
<span id="cb5-26"><a href="#cb5-26" aria-hidden="true"></a><span class="co">#> 1 -1.7 1</span></span></code></pre></div>
<p>Passing a fitted model to the <code>sp_diag</code> function will return a set of diagnostics for spatial models:</p>
<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true"></a><span class="kw">sp_diag</span>(fit, georgia, <span class="dt">w =</span> A)</span>
<span id="cb6-2"><a href="#cb6-2" aria-hidden="true"></a><span class="co">#> Using sp_diag(y, shape, rates = TRUE, ...). To examine data as (unstandardized) counts, use rates = FALSE.</span></span>
<span id="cb6-3"><a href="#cb6-3" aria-hidden="true"></a><span class="co">#> 3 NA values found in x will be dropped from data x and matrix w</span></span>
<span id="cb6-4"><a href="#cb6-4" aria-hidden="true"></a><span class="co">#> Warning: Removed 3 rows containing missing values or values outside the scale</span></span>
<span id="cb6-5"><a href="#cb6-5" aria-hidden="true"></a><span class="co">#> range (`geom_pointrange()`).</span></span></code></pre></div>
<img 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" 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<p>The <code>print</code> method returns a summary of the probability distributions for model parameters, as well as Markov chain Monte Carlo (MCMC) diagnostics from Stan (Monte Carlo standard errors of the mean <code>se_mean</code>, effective sample size <code>n_eff</code>, and the R-hat statistic <code>Rhat</code>):</p>
<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true"></a><span class="kw">print</span>(fit)</span>
<span id="cb7-2"><a href="#cb7-2" aria-hidden="true"></a><span class="co">#> Spatial Model Results </span></span>
<span id="cb7-3"><a href="#cb7-3" aria-hidden="true"></a><span class="co">#> Formula: deaths.female ~ offset(log(pop.at.risk.female))</span></span>
<span id="cb7-4"><a href="#cb7-4" aria-hidden="true"></a><span class="co">#> Spatial method (outcome): CAR </span></span>
<span id="cb7-5"><a href="#cb7-5" aria-hidden="true"></a><span class="co">#> Likelihood function: poisson </span></span>
<span id="cb7-6"><a href="#cb7-6" aria-hidden="true"></a><span class="co">#> Link function: log </span></span>
<span id="cb7-7"><a href="#cb7-7" aria-hidden="true"></a><span class="co">#> Residual Moran Coefficient: 0.00123875 </span></span>
<span id="cb7-8"><a href="#cb7-8" aria-hidden="true"></a><span class="co">#> WAIC: 1228.29 </span></span>
<span id="cb7-9"><a href="#cb7-9" aria-hidden="true"></a><span class="co">#> Observations: 156 </span></span>
<span id="cb7-10"><a href="#cb7-10" aria-hidden="true"></a><span class="co">#> Data models (ME): none</span></span>
<span id="cb7-11"><a href="#cb7-11" aria-hidden="true"></a><span class="co">#> Inference for Stan model: foundation.</span></span>
<span id="cb7-12"><a href="#cb7-12" aria-hidden="true"></a><span class="co">#> 4 chains, each with iter=2000; warmup=1000; thin=1; </span></span>
<span id="cb7-13"><a href="#cb7-13" aria-hidden="true"></a><span class="co">#> post-warmup draws per chain=1000, total post-warmup draws=4000.</span></span>
<span id="cb7-14"><a href="#cb7-14" aria-hidden="true"></a><span class="co">#> </span></span>
<span id="cb7-15"><a href="#cb7-15" aria-hidden="true"></a><span class="co">#> mean se_mean sd 2.5% 20% 50% 80% 97.5% n_eff Rhat</span></span>
<span id="cb7-16"><a href="#cb7-16" aria-hidden="true"></a><span class="co">#> intercept -4.666 0.007 0.143 -4.840 -4.729 -4.672 -4.616 -4.484 461 1.006</span></span>
<span id="cb7-17"><a href="#cb7-17" aria-hidden="true"></a><span class="co">#> car_rho 0.924 0.001 0.059 0.778 0.884 0.937 0.973 0.996 3086 1.001</span></span>
<span id="cb7-18"><a href="#cb7-18" aria-hidden="true"></a><span class="co">#> car_scale 0.456 0.001 0.036 0.390 0.427 0.454 0.485 0.533 3776 1.000</span></span>
<span id="cb7-19"><a href="#cb7-19" aria-hidden="true"></a><span class="co">#> </span></span>
<span id="cb7-20"><a href="#cb7-20" aria-hidden="true"></a><span class="co">#> Samples were drawn using NUTS(diag_e) at Tue Apr 16 08:52:52 2024.</span></span>
<span id="cb7-21"><a href="#cb7-21" aria-hidden="true"></a><span class="co">#> For each parameter, n_eff is a crude measure of effective sample size,</span></span>
<span id="cb7-22"><a href="#cb7-22" aria-hidden="true"></a><span class="co">#> and Rhat is the potential scale reduction factor on split chains (at </span></span>
<span id="cb7-23"><a href="#cb7-23" aria-hidden="true"></a><span class="co">#> convergence, Rhat=1).</span></span></code></pre></div>
<p>Applying the <code>fitted</code> method to the fitted model will return the fitted values from the model - in this case, the fitted values are the estimates of the county mortality rates. Multiplying them by 10,000 gives mortality rate per 10,000 at risk:</p>
<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb8-1"><a href="#cb8-1" aria-hidden="true"></a>mortality_est <-<span class="st"> </span><span class="kw">fitted</span>(fit) <span class="op">*</span><span class="st"> </span><span class="fl">10e3</span></span>
<span id="cb8-2"><a href="#cb8-2" aria-hidden="true"></a>county_name <-<span class="st"> </span>georgia<span class="op">$</span>NAME</span>
<span id="cb8-3"><a href="#cb8-3" aria-hidden="true"></a><span class="kw">head</span>( <span class="kw">cbind</span>(county_name, mortality_est) )</span>
<span id="cb8-4"><a href="#cb8-4" aria-hidden="true"></a><span class="co">#> county_name mean sd 2.5% 20% 50%</span></span>
<span id="cb8-5"><a href="#cb8-5" aria-hidden="true"></a><span class="co">#> fitted[1] Crisp 101.64998 9.384722 84.24670 93.71233 101.29406</span></span>
<span id="cb8-6"><a href="#cb8-6" aria-hidden="true"></a><span class="co">#> fitted[2] Candler 137.17952 16.264992 107.11368 123.59204 136.39838</span></span>
<span id="cb8-7"><a href="#cb8-7" aria-hidden="true"></a><span class="co">#> fitted[3] Barrow 94.22368 6.126884 82.75981 89.00941 94.11519</span></span>
<span id="cb8-8"><a href="#cb8-8" aria-hidden="true"></a><span class="co">#> fitted[4] DeKalb 59.76170 1.595148 56.68882 58.40064 59.76835</span></span>
<span id="cb8-9"><a href="#cb8-9" aria-hidden="true"></a><span class="co">#> fitted[5] Columbia 53.36728 3.265343 47.21909 50.61056 53.33728</span></span>
<span id="cb8-10"><a href="#cb8-10" aria-hidden="true"></a><span class="co">#> fitted[6] Cobb 54.13621 1.545304 51.09988 52.81882 54.11181</span></span>
<span id="cb8-11"><a href="#cb8-11" aria-hidden="true"></a><span class="co">#> 80% 97.5%</span></span>
<span id="cb8-12"><a href="#cb8-12" aria-hidden="true"></a><span class="co">#> fitted[1] 109.51372 120.80189</span></span>
<span id="cb8-13"><a href="#cb8-13" aria-hidden="true"></a><span class="co">#> fitted[2] 150.22007 171.23752</span></span>
<span id="cb8-14"><a href="#cb8-14" aria-hidden="true"></a><span class="co">#> fitted[3] 99.29052 106.43936</span></span>
<span id="cb8-15"><a href="#cb8-15" aria-hidden="true"></a><span class="co">#> fitted[4] 61.09047 62.90342</span></span>
<span id="cb8-16"><a href="#cb8-16" aria-hidden="true"></a><span class="co">#> fitted[5] 56.01686 60.00058</span></span>
<span id="cb8-17"><a href="#cb8-17" aria-hidden="true"></a><span class="co">#> fitted[6] 55.46060 57.14337</span></span></code></pre></div>
<p>The mortality estimates are stored in the column named “mean”, and the limits of the 95% credible interval are found in the columns “2.5%” and “97.5%”.</p>
<p>Details and demonstrations can be found in the package <a href="https://connordonegan.github.io/geostan/reference/index.html">help pages</a> and <a href="https://connordonegan.github.io/geostan/articles/index.html">vignettes</a>.</p>
<h2 id="citing-geostan">Citing geostan</h2>
<p>If you use geostan in published work, please include a citation.</p>
<p>Donegan, Connor (2022) “geostan: An R package for Bayesian spatial analysis” <em>The Journal of Open Source Software</em>. 7, no. 79: 4716. <a href="https://doi.org/10.21105/joss.04716">https://doi.org/10.21105/joss.04716</a>.</p>
<p><a href="https://doi.org/10.21105/joss.04716"><img src="data:image/svg+xml; charset=utf-8;base64,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" alt="DOI" /></a></p>
<pre><code>@Article{,
title = {{geostan}: An {R} package for {B}ayesian spatial analysis},
author = {Connor Donegan},
journal = {The Journal of Open Source Software},
year = {2022},
volume = {7},
number = {79},
pages = {4716},
doi = {10.21105/joss.04716},
}
</code></pre>
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