print.nonprob_summary

Print method for the <code>nonprob_summary</code> object which allows for specification
what should be printed or not.

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

print.nonprob_summary function

<dl><dt>x</dt>
<dd>a <code>nonprob</code> object</dd>
<dt>resid</dt>
<dd>whether distribution of residuals should be printed (default is <code>TRUE</code>)</dd>
<dt>pred</dt>
<dd>whether distribution of predictions should be printed (default is <code>TRUE</code>)</dd>
<dt>digits</dt>
<dd>number of digits to be printed (default 4)</dd>
<dt>...</dt>
<dd>further parameters passed to the print method (currently not supported)</dd></dl>

Arguments

Print method for the nonprob_summary object — print.nonprob_summary

<dl>

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


<dt>resid</dt>
<dd>whether distribution of residuals should be printed (default is <code>TRUE</code>)</dd>


<dt>pred</dt>
<dd>whether distribution of predictions should be printed (default is <code>TRUE</code>)</dd>


<dt>digits</dt>
<dd>number of digits to be printed (default 4)</dd>


<dt>...</dt>
<dd>further parameters passed to the print method (currently not supported)</dd>

</dl>

print.nonprob_summary: Print method for the nonprob_summary object

Description

Usage

Arguments