get_best_fit

Extract the best fit micro population (resulting from the simulated annealing 
algorithm) for a given geography.

Provides access to curated American Community Survey (ACS) base tables via a wrapper
to library(acs). Builds synthetic micro-datasets at any user-specified geographic level with
ten default attributes; and, conducts spatial microsimulation modeling (SMSM) via simulated
annealing. SMSM is conducted in parallel by default. Lastly, we provide functionality for
data-extensibility of micro-datasets <doi:10.18637/jss.v104.i07>.

Alex Whitworth

synthACS

Synthetic Microdata and Spatial MicroSimulation Modeling for ACS
Data

get_best_fit function

<dl><dt>obj</dt>
<dd>An object of class <code>'smsm_set'</code>, typically a result of call to 
<code>all_geog_optimize_microdata</code></dd>
<dt>geography</dt>
<dd>A string allowing string matching via <code><a href="/link/grep?package=synthACS&version=1.7.1" data-mini-rdoc="synthACS::grep">grep</a></code> to 
a specified geography.</dd></dl>

Arguments

Extract best fit for a specified geogrpahy from an 'smsm_set' object — get_best_fit

<dl>

<dt>obj</dt>
<dd>An object of class <code>'smsm_set'</code>, typically a result of call to 
<code>all_geog_optimize_microdata</code></dd>


<dt>geography</dt>
<dd>A string allowing string matching via <code><a href='https://rdrr.io/r/base/grep.html'>grep</a></code> to 
a specified geography.</dd>

</dl>

State of Data and AI Literacy Report 2025

get_best_fit: Extract best fit for a specified geogrpahy from an 'smsm_set' object

Description

Usage

Arguments