finalize_pw_fit

Attaches the reconstructed sample data frame, the pseudo-weight vector, and
NA-handling metadata to `result`, then assigns the `"pw_fit"`
class so that downstream S3 methods can dispatch on it.

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

finalize_pw_fit function

<dl><dt>result</dt>
<dd>A list accumulating outputs from the estimation pipeline.</dd>
<dt>sc_out</dt>
<dd>The reconstructed sample data frame produced by
`reconstruct_sc_output()`.</dd>
<dt>sc0</dt>
<dd>The original (pre-NA-removal) sample data frame, stored for
diagnostic access via `result$internal$raw_sc`.</dd>
<dt>sc_wname</dt>
<dd>Name of the pseudo-weight column in `sc_out`.</dd>
<dt>na_mode</dt>
<dd>Character string describing how NAs were handled; stored in
`result$internal$na`.</dd>
<dt>keep_sc</dt>
<dd>Logical vector of retained rows; stored in
`result$internal$na`.</dd>
<dt>na_action_obj</dt>
<dd>The `na.action` attribute from NA removal; stored
in `result$internal$na`.</dd></dl>

Arguments

Finalize and assemble the `pw_fit` return object — finalize_pw_fit

<dl>

<dt>result</dt>
<dd>A list accumulating outputs from the estimation pipeline.</dd>


<dt>sc_out</dt>
<dd>The reconstructed sample data frame produced by
`reconstruct_sc_output()`.</dd>


<dt>sc0</dt>
<dd>The original (pre-NA-removal) sample data frame, stored for
diagnostic access via `result$internal$raw_sc`.</dd>


<dt>sc_wname</dt>
<dd>Name of the pseudo-weight column in `sc_out`.</dd>


<dt>na_mode</dt>
<dd>Character string describing how NAs were handled; stored in
`result$internal$na`.</dd>


<dt>keep_sc</dt>
<dd>Logical vector of retained rows; stored in
`result$internal$na`.</dd>


<dt>na_action_obj</dt>
<dd>The `na.action` attribute from NA removal; stored
in `result$internal$na`.</dd>

</dl>

finalize_pw_fit: Finalize and assemble the `pw_fit` return object

Description

Usage

Value

Arguments