tidy.nmar_result

Return a data frame with the primary estimate and (if available) missingness-model coefficients.

result_view

Methods to estimate finite-population parameters under nonresponse that is not missing at
random (NMAR, nonignorable). Incorporates auxiliary information and user-specified response models,
and supports independent samples and complex survey designs via objects from the 'survey' package.
Provides diagnostics and optional variance estimates. For methodological background see
Qin, Leung and Shao (2002) <doi:10.1198/016214502753479338> and Riddles, Kim and Im (2016) <doi:10.1093/jssam/smv047>.

Maciej Ber<c4><99>sewicz

NMAR

Estimation under not Missing at Random Nonresponse

Maciej Beresewicz

Igor Kołodziej

Mateusz Iwaniuk

tidy.nmar_result function

<dl><dt>x</dt>
<dd>An object of class `nmar_result`.</dd>
<dt>conf.level</dt>
<dd>Confidence level for the primary estimate.</dd>
<dt>...</dt>
<dd>Ignored.</dd></dl>

Arguments

Tidy summary for NMAR results — tidy.nmar_result

<dl>

<dt>x</dt>
<dd>An object of class `nmar_result`.</dd>


<dt>conf.level</dt>
<dd>Confidence level for the primary estimate.</dd>


<dt>...</dt>
<dd>Ignored.</dd>

</dl>

tidy.nmar_result: Tidy summary for NMAR results

Description

Usage

Value

Arguments