parse_ipwm_data

Splits the input list into its two parts: the nonprobability sample
(`sc`) and one or more reference survey designs (`sp_des`).
For each design it calls `extract_analysis_data()` to remove design
variables and attach a `sp_wts` column, giving back a plain data
frame ready for modeling. If the list elements have no names, or if
any element name is an empty string (partially named list), default
names `"sp[[1]]"`, `"sp[[2]]"`, ... are assigned to all elements.

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

parse_ipwm_data function

<dl><dt>data</dt>
<dd>A named or unnamed list. The first element is the
nonprobability sample as a data frame. Every remaining element is a
survey design object (`survey.design2`, `survey.design`, or
`svyrep.design`).</dd></dl>

Arguments

Parse the data list passed to est_pw — parse_ipwm_data

<dl>

<dt>data</dt>
<dd>A named or unnamed list. The first element is the
nonprobability sample as a data frame. Every remaining element is a
survey design object (`survey.design2`, `survey.design`, or
`svyrep.design`).</dd>

</dl>

parse_ipwm_data: Parse the data list passed to est_pw

Description

Usage

Value

Arguments