get_ebisg_module

<p>Imports <code>inst/python/ebisg_helper.py</code> as a private module via
<code>reticulate::import_from_path()</code> and caches the module object on
<code>.ebisg_env</code>. Using <code>import_from_path</code> keeps the helper's symbols
encapsulated rather than dumping them into Python's global namespace
as <code>source_python</code> would.</p>

internal

Predicts individual race/ethnicity using surname, first name,
middle name, geolocation, and other attributes, such as gender and
age. The method utilizes Bayes' Rule (with optional measurement error
correction) to compute the posterior probability of each racial
category for any given individual. The package implements methods
described in Imai and Khanna (2016) "Improving Ecological Inference by
Predicting Individual Ethnicity from Voter Registration Records"
Political Analysis <DOI:10.1093/pan/mpw001> and Imai, Olivella, and
Rosenman (2022) "Addressing census data problems in race imputation
via fully Bayesian Improved Surname Geocoding and name supplements"
<DOI:10.1126/sciadv.adc9824>.  The package also incorporates the data
described in Rosenman, Olivella, and Imai (2023) "Race and ethnicity
data for first, middle, and surnames"
<DOI:10.1038/s41597-023-02202-2>.

get_ebisg_module: Load the Python eBISG helper module

Description

Usage

Arguments