dispatch_estimator_one_domain

Selects and calls the specific estimator function based on
`build$method`, passing the relevant matrices and vectors
for one domain at a time.

internal

Provides pseudo-weighted estimates of means and
prevalences for finite population inference from nonprobability
samples using auxiliary information from one or multiple probability
reference surveys. The package supports estimation with multiple
reference surveys, allowing auxiliary information to be combined
when no single survey contains all variables relevant to
participation. Optional cumulative precalibration can be applied to
align weighted totals of shared variables across surveys. Methods
are based on the generalized estimating equations framework of
Landsman et al. (2026) <doi:10.1002/sim.70403> for correcting
participation bias. For a single reference survey, the package
implements the raking ratio calibration method and includes the
adjusted logistic propensity (ALP) method of Wang, Valliant, and Li
(2021) <doi:10.1002/sim.9122>, as well as the Chen-Li-Wu (CLW)
method of Chen, Li, and Wu (2020) <doi:10.1080/01621459.2019.1677241>.
Analytic variance estimation uses Taylor linearization and accounts
for complex sampling designs in the reference surveys via integration
with the 'survey' package.

Jiakun Lin

nonprobsampling

Inference for Nonprobability Samples Using Multiple Reference
Surveys

Victoria Landsman

Aya A. Mitani

dispatch_estimator_one_domain function

<dl><dt>build</dt>
<dd>A `pw_fit` object returned by the build step.</dd>
<dt>Y</dt>
<dd>Outcome vector of length `n`.</dd>
<dt>zvec</dt>
<dd>Domain indicator vector of length `n`.</dd>
<dt>w</dt>
<dd>Pseudo-weight vector of length `n`.</dd>
<dt>X</dt>
<dd>Design matrix for the convenience sample, with dimension
`n x p`.</dd></dl>

Arguments

Run the estimator for a single domain — dispatch_estimator_one_domain

<dl>

<dt>build</dt>
<dd>A `pw_fit` object returned by the build step.</dd>


<dt>Y</dt>
<dd>Outcome vector of length `n`.</dd>


<dt>zvec</dt>
<dd>Domain indicator vector of length `n`.</dd>


<dt>w</dt>
<dd>Pseudo-weight vector of length `n`.</dd>


<dt>X</dt>
<dd>Design matrix for the convenience sample, with dimension
`n x p`.</dd>

</dl>

dispatch_estimator_one_domain: Run the estimator for a single domain

Description

Usage

Value

Arguments