weights.nonprob

A generic function <code>weights</code> that returns inverse probability weights (if present)

Statistical inference with non-probability samples when auxiliary information from external sources such as probability samples or population totals or means is available. The package implements various methods such as inverse probability (propensity score) weighting, mass imputation and doubly robust approach. Details can be found in: Chen et al. (2020) <doi:10.1080/01621459.2019.1677241>, Yang et al. (2020) <doi:10.1111/rssb.12354>, Kim et al. (2021) <doi:10.1111/rssa.12696>, Yang et al. (2021) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2021001/article/00004-eng.htm> and Wu (2022) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2022002/article/00002-eng.htm>.

Maciej Ber<c4><99>sewicz

nonprobsvy

Inference Based on Non-Probability Samples

Łukasz Chrostowski

Maciej Beręsewicz

Piotr Chlebicki

weights.nonprob function

<dl><dt>object</dt>
<dd>a <code>nonprob</code> class object</dd>
<dt>...</dt>
<dd>other arguments passed to methods (currently not supported)</dd></dl>

Arguments

Extract the inverse probability weights — weights.nonprob

<dl>

<dt>object</dt>
<dd>a <code>nonprob</code> class object</dd>


<dt>...</dt>
<dd>other arguments passed to methods (currently not supported)</dd>

</dl>

weights.nonprob: Extract the inverse probability weights

Description

Usage

Value

Arguments