acs_dat

A small example data set for fitting nonlinear Fay-Herriot models. <code>MedInc</code>
is the direct estimate response and <code>MedIncSE</code> is its standard error. Use
<code>MedIncSE^2</code> as the sampling variance when fitting models.

datasets

Fits nonlinear Bayesian extensions of the Fay-Herriot model for small
area estimation using area-level direct estimates and corresponding
sampling variances. The package provides model fitting, prediction,
uncertainty summaries, and diagnostic tools for nonlinear small area
estimation workflows.

Paul Parker

nlfh

Nonlinear Fay-Herriot Models for Small Area Estimation

acs_dat function

A data frame with 1,617 rows and 8 variables:<dl>
<dt>MedInc</dt>
<dd>Area-level direct estimate of median income.</dd><dt>MedIncSE</dt>
<dd>Standard error of <code>MedInc</code>.</dd><dt>SNAPRate</dt>
<dd>Area-level SNAP participation rate covariate.</dd><dt>PovRate</dt>
<dd>Area-level poverty rate covariate.</dd><dt>White</dt>
<dd>Area-level proportion identifying as White.</dd><dt>Black</dt>
<dd>Area-level proportion identifying as Black.</dd><dt>Hispanic</dt>
<dd>Area-level proportion identifying as Hispanic.</dd><dt>Asian</dt>
<dd>Area-level proportion identifying as Asian.</dd>
</dl>

Format

Example ACS Small Area Data — acs_dat

A data frame with 1,617 rows and 8 variables:<dl>
<dt>MedInc</dt>
<dd>Area-level direct estimate of median income.</dd>

<dt>MedIncSE</dt>
<dd>Standard error of <code>MedInc</code>.</dd>

<dt>SNAPRate</dt>
<dd>Area-level SNAP participation rate covariate.</dd>

<dt>PovRate</dt>
<dd>Area-level poverty rate covariate.</dd>

<dt>White</dt>
<dd>Area-level proportion identifying as White.</dd>

<dt>Black</dt>
<dd>Area-level proportion identifying as Black.</dd>

<dt>Hispanic</dt>
<dd>Area-level proportion identifying as Hispanic.</dd>

<dt>Asian</dt>
<dd>Area-level proportion identifying as Asian.</dd>


</dl>

acs_dat: Example ACS Small Area Data

Description

Usage

Arguments

Format

Examples