el_denominator

internal

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

el_denominator function

<dl><dt>lambda_W</dt>
<dd>numeric scalar</dd>
<dt>W</dt>
<dd>numeric scalar in (0,1)</dd>
<dt>Xc_lambda</dt>
<dd>numeric vector (X_centered %*% lambda_x) or 0</dd>
<dt>p_i</dt>
<dd>numeric vector of response probabilities</dd>
<dt>floor</dt>
<dd>numeric scalar &gt; 0, denominator floor</dd></dl>

Arguments

Compute denominator — el_denominator

<dl>

<dt>lambda_W</dt>
<dd>numeric scalar</dd>


<dt>W</dt>
<dd>numeric scalar in (0,1)</dd>


<dt>Xc_lambda</dt>
<dd>numeric vector (X_centered %*% lambda_x) or 0</dd>


<dt>p_i</dt>
<dd>numeric vector of response probabilities</dd>


<dt>floor</dt>
<dd>numeric scalar &gt; 0, denominator floor</dd>

</dl>

Compute denominator

el_denominator: Compute denominator

Description

Usage

Value

Arguments