confint.summary_nmar_result

Returns Wald-style confidence intervals for missingness-model coefficients from
a `summary_nmar_result*` object. Uses t-quantiles when finite degrees of
freedom are available, otherwise normal quantiles.

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

confint.summary_nmar_result function

<dl><dt>object</dt>
<dd>An object of class `summary_nmar_result` (or subclass).</dd>
<dt>parm</dt>
<dd>A specification of which coefficients are to be given confidence intervals,
either a vector of names or a vector of indices. By default, all coefficients are considered.</dd>
<dt>level</dt>
<dd>The confidence level required.</dd>
<dt>...</dt>
<dd>Ignored.</dd></dl>

Arguments

Confidence intervals for summary objects — confint.summary_nmar_result

<dl>

<dt>object</dt>
<dd>An object of class `summary_nmar_result` (or subclass).</dd>


<dt>parm</dt>
<dd>A specification of which coefficients are to be given confidence intervals,
either a vector of names or a vector of indices. By default, all coefficients are considered.</dd>


<dt>level</dt>
<dd>The confidence level required.</dd>


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

</dl>

confint.summary_nmar_result: Confidence intervals for summary objects

Description

Usage

Value

Arguments