apply_nmar_scaling

Apply scaling to a matrix using a recipe

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

apply_nmar_scaling function

<dl><dt>matrix_to_scale</dt>
<dd>A numeric matrix with column names present in <code>recipe</code>.</dd>
<dt>recipe</dt>
<dd>An object of class <code>nmar_scaling_recipe</code>.</dd></dl>

Arguments

Apply scaling to a matrix using a recipe — apply_nmar_scaling

<dl>

<dt>matrix_to_scale</dt>
<dd>A numeric matrix with column names present in <code>recipe</code>.</dd>


<dt>recipe</dt>
<dd>An object of class <code>nmar_scaling_recipe</code>.</dd>

</dl>

apply_nmar_scaling: Apply scaling to a matrix using a recipe

Description

Usage

Value

Arguments