villageData

<p>Dataset containing cluster population weights for use in performing
posterior weighting with the blocked weighted bootstrap approach. This
dataset is from a mother and child health and nutrition survey conducted in
4 districts from 3 regions in Somalia.</p>

datasets

The blocked weighted bootstrap (BBW) is an estimation technique
for use with data from two-stage cluster sampled surveys in which either
prior weighting (e.g. population-proportional sampling or PPS as used in
Standardized Monitoring and Assessment of Relief and Transitions or SMART
surveys) or posterior weighting (e.g. as used in rapid assessment method or
RAM and simple spatial sampling method or S3M surveys) is implemented. See
Cameron et al (2008) <doi:10.1162/rest.90.3.414> for application of
bootstrap to cluster samples. See Aaron et al (2016)
<doi:10.1371/journal.pone.0163176> and Aaron et al (2016)
<doi:10.1371/journal.pone.0162462> for application of the blocked weighted
bootstrap to estimate indicators from two-stage cluster sampled surveys.

Ernest Guevarra

Blocked Weighted Bootstrap

Mark Myatt

villageData function

<p>A data frame with 6 columns and 117 rows:</p><table class="table">
<tr><td><strong>Variable</strong></td><td><strong>Description</strong></td></tr>
<tr><td><code>region</code></td><td>Region in Somalia from which the cluster belongs to</td></tr>
<tr><td><code>district</code></td><td>District in Somalia from which the cluster belongs to</td></tr>
<tr><td><code>psu</code></td><td>The PSU identifier. This must use the same coding system used to identify the PSUs that is used in the indicators dataset</td></tr>
<tr><td><code>lon</code></td><td>Longitude coordinate of the cluster</td></tr>
<tr><td><code>lat</code></td><td>Latitude coordinate of the cluster</td></tr>
<tr><td><code>pop</code></td><td>Population size of the cluster</td></tr>
</table><p></p><p></p>

Format

Cluster Population Weights Dataset — villageData

<p>A data frame with 6 columns and 117 rows:</p><table class='table'>
<tr><td><strong>Variable</strong></td><td><strong>Description</strong></td></tr>
<tr><td><code>region</code></td><td>Region in Somalia from which the cluster belongs to</td></tr>
<tr><td><code>district</code></td><td>District in Somalia from which the cluster belongs to</td></tr>
<tr><td><code>psu</code></td><td>The PSU identifier. This must use the same coding system used to identify the PSUs that is used in the indicators dataset</td></tr>
<tr><td><code>lon</code></td><td>Longitude coordinate of the cluster</td></tr>
<tr><td><code>lat</code></td><td>Latitude coordinate of the cluster</td></tr>
<tr><td><code>pop</code></td><td>Population size of the cluster</td></tr>
</table>



Variable	Description
`region`	Region in Somalia from which the cluster belongs to
`district`	District in Somalia from which the cluster belongs to
`psu`	The PSU identifier. This must use the same coding system used to identify the PSUs that is used in the indicators dataset
`lon`	Longitude coordinate of the cluster
`lat`	Latitude coordinate of the cluster
`pop`	Population size of the cluster

villageData: Cluster Population Weights Dataset

Description

Usage

Arguments

Format

Examples