standardize_zcol

Converts `zcol` in `data` to a standard form used throughout the
estimation pipeline. Logical and binary numeric (0/1) variables become a
single integer indicator column; character variables are trimmed and
coerced to a factor; factor variables are dropped of unused levels and
expanded to one integer indicator column per level. The returned list
always has the same structure so downstream code can branch on `mode`
alone.

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

standardize_zcol function

<dl><dt>data</dt>
<dd>A data frame containing the column named by `zcol`.</dd>
<dt>zcol</dt>
<dd>Single character string naming the domain variable in `data`,
or NULL for the overall (no-domain) case.</dd></dl>

Arguments

Standardize a domain variable into a common internal format — standardize_zcol

<dl>

<dt>data</dt>
<dd>A data frame containing the column named by `zcol`.</dd>


<dt>zcol</dt>
<dd>Single character string naming the domain variable in `data`,
or NULL for the overall (no-domain) case.</dd>

</dl>

standardize_zcol: Standardize a domain variable into a common internal format

Description

Usage

Value

Arguments