el_masses

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_masses function

<dl><dt>weights</dt>
<dd>numeric respondent base weights (d_i)</dd>
<dt>denom</dt>
<dd>numeric denominators Di after floor guard</dd>
<dt>floor</dt>
<dd>numeric small positive guard</dd>
<dt>trim_cap</dt>
<dd>numeric cap (&gt;0) or Inf</dd></dl>

Arguments

Compute probability masses — el_masses

<dl>

<dt>weights</dt>
<dd>numeric respondent base weights (d_i)</dd>


<dt>denom</dt>
<dd>numeric denominators Di after floor guard</dd>


<dt>floor</dt>
<dd>numeric small positive guard</dd>


<dt>trim_cap</dt>
<dd>numeric cap (&gt;0) or Inf</dd>

</dl>

Compute probability masses

el_masses: Compute probability masses

Description

Usage

Value

Arguments