check_ipwm_inputs_estimate

Checks that `build` is a valid `pw_fit` object with all required internal
fields, that `y` names a numeric or factor column in the raw convenience
sample, and
that `zcol` (if supplied) is a supported domain variable with at least two
non-missing levels in both the full sample and the build-stage complete cases.

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

check_ipwm_inputs_estimate function

<dl><dt>build</dt>
<dd>A `pw_fit` object returned by the build step.</dd>
<dt>y</dt>
<dd>Single character string naming the numeric or categorical outcome
variable in `build$internal$raw_sc`.</dd>
<dt>zcol</dt>
<dd>Single character string naming the domain variable in
`build$internal$raw_sc`, or NULL for the overall mean.</dd></dl>

Arguments

Validate inputs at the estimation stage — check_ipwm_inputs_estimate

<dl>

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


<dt>y</dt>
<dd>Single character string naming the numeric or categorical outcome
variable in `build$internal$raw_sc`.</dd>


<dt>zcol</dt>
<dd>Single character string naming the domain variable in
`build$internal$raw_sc`, or NULL for the overall mean.</dd>

</dl>

check_ipwm_inputs_estimate: Validate inputs at the estimation stage

Description

Usage

Value

Arguments