confint.nonprob

A generic function that returns the confidence interval
for the estimated mean. If standard errors have not been estimated, the function
updates the <code>nonprob</code> object to obtain standard errors.

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

confint.nonprob function

<dl><dt>object</dt>
<dd>object of <code>nonprob</code> class.</dd>
<dt>parm</dt>
<dd>names of parameters for which confidence intervals are to be
computed, if missing all parameters will be considered.</dd>
<dt>level</dt>
<dd>confidence level for intervals.</dd>
<dt>...</dt>
<dd>additional arguments</dd></dl>

Arguments

Confidence intervals for estimated mean — confint.nonprob

<dl>

<dt>object</dt>
<dd>object of <code>nonprob</code> class.</dd>


<dt>parm</dt>
<dd>names of parameters for which confidence intervals are to be
computed, if missing all parameters will be considered.</dd>


<dt>level</dt>
<dd>confidence level for intervals.</dd>


<dt>...</dt>
<dd>additional arguments</dd>

</dl>

confint.nonprob: Confidence intervals for estimated mean

Description

Usage

Value

Arguments