get.h.hat

Get Horvitz-Thompson estimator assuming inclusion probability proportional
to the inverse of network.var (i.e. degree).

Provides functionality for carrying out estimation
with data collected using Respondent-Driven Sampling. This includes
Heckathorn's RDS-I and RDS-II estimators as well as Gile's Sequential
Sampling estimator. The package is part of the "RDS Analyst" suite of
packages for the analysis of respondent-driven sampling data.
See Gile and Handcock (2010) <doi:10.1111/j.1467-9531.2010.01223.x>,
Gile and Handcock (2015) <doi:10.1111/rssa.12091> and
Gile and Beaudry and Handcock and Ott (2018) <doi:10.1146/annurev-statistics-031017-100704>.

Mark S Handcock

Respondent-Driven Sampling

Mark S. Handcock

Krista J. Gile

Ian E. Fellows

W. Whipple Neely

get.h.hat function

<dl><dt>rds.data</dt>
<dd>An rds.data.from</dd>
<dt>group.variable</dt>
<dd>The grouping variable.</dd>
<dt>network.var</dt>
<dd>The network.size variable.</dd></dl>

Arguments

Get Horvitz-Thompson estimator assuming inclusion probability proportional
to the inverse of network.var (i.e. degree). — get.h.hat

<dl>

<dt>rds.data</dt>
<dd>An rds.data.from</dd>


<dt>group.variable</dt>
<dd>The grouping variable.</dd>


<dt>network.var</dt>
<dd>The network.size variable.</dd>

</dl>

get.h.hat: Get Horvitz-Thompson estimator assuming inclusion probability proportional to the inverse of network.var (i.e. degree).

Description

Usage

Arguments