unscale_coefficients

Unscale coefficients and covariance

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

unscale_coefficients function

<dl><dt>scaled_coeffs</dt>
<dd>named numeric vector of coefficients estimated on the scaled space.</dd>
<dt>scaled_vcov</dt>
<dd>covariance matrix of <code>scaled_coeffs</code>.</dd>
<dt>recipe</dt>
<dd>Scaling recipe of class <code>nmar_scaling_recipe</code>.</dd></dl>

Arguments

Unscale coefficients and covariance — unscale_coefficients

<dl>

<dt>scaled_coeffs</dt>
<dd>named numeric vector of coefficients estimated on the scaled space.</dd>


<dt>scaled_vcov</dt>
<dd>covariance matrix of <code>scaled_coeffs</code>.</dd>


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

</dl>

unscale_coefficients: Unscale coefficients and covariance

Description

Usage

Value

Arguments