scale_coefficients

Map unscaled coefficients to scaled space

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

scale_coefficients function

<dl><dt>beta_unscaled</dt>
<dd>named numeric vector of coefficients for the response
model on the original scale, including an intercept named <code>"(Intercept)"</code>.</dd>
<dt>recipe</dt>
<dd>Scaling recipe of class <code>nmar_scaling_recipe</code>, or <code>NULL</code>.</dd>
<dt>columns</dt>
<dd>character vector of column names (order) for the scaled design
matrix (including intercept).</dd></dl>

Arguments

Map unscaled coefficients to scaled space — scale_coefficients

<dl>

<dt>beta_unscaled</dt>
<dd>named numeric vector of coefficients for the response
model on the original scale, including an intercept named <code>"(Intercept)"</code>.</dd>


<dt>recipe</dt>
<dd>Scaling recipe of class <code>nmar_scaling_recipe</code>, or <code>NULL</code>.</dd>


<dt>columns</dt>
<dd>character vector of column names (order) for the scaled design
matrix (including intercept).</dd>

</dl>

scale_coefficients: Map unscaled coefficients to scaled space

Description

Usage

Value

Arguments