bootstrap_variance.data.frame

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

bootstrap_variance.data.frame function

<dl><dt>data</dt>
<dd>A <code>data.frame</code>.</dd>
<dt>estimator_func</dt>
<dd>Function returning an object with a numeric scalar
component <code>y_hat</code> and an optional logical component <code>converged</code>.</dd>
<dt>point_estimate</dt>
<dd>Unused for IID bootstrap; included for signature
consistency.</dd>
<dt>bootstrap_reps</dt>
<dd>integer; number of resamples.</dd>
<dt>...</dt>
<dd>Additional arguments. Some are consumed by <code>bootstrap_variance()</code>
itself (for example <code>resample_guard</code> for IID bootstrap or
<code>bootstrap_settings</code>/<code>bootstrap_options</code>/<code>bootstrap_type</code>/<code>bootstrap_mse</code>
for survey bootstrap); remaining arguments are forwarded to <code>estimator_func</code>.</dd></dl>

Arguments

Bootstrap for IID data frames — bootstrap_variance.data.frame

<dl>

<dt>data</dt>
<dd>A <code>data.frame</code>.</dd>


<dt>estimator_func</dt>
<dd>Function returning an object with a numeric scalar
component <code>y_hat</code> and an optional logical component <code>converged</code>.</dd>


<dt>point_estimate</dt>
<dd>Unused for IID bootstrap; included for signature
consistency.</dd>


<dt>bootstrap_reps</dt>
<dd>integer; number of resamples.</dd>


<dt>...</dt>
<dd>Additional arguments. Some are consumed by <code>bootstrap_variance()</code>
itself (for example <code>resample_guard</code> for IID bootstrap or
<code>bootstrap_settings</code>/<code>bootstrap_options</code>/<code>bootstrap_type</code>/<code>bootstrap_mse</code>
for survey bootstrap); remaining arguments are forwarded to <code>estimator_func</code>.</dd>

</dl>

Bootstrap for IID data frames

bootstrap_variance.data.frame: Bootstrap for IID data frames

Description

Usage

Value

Arguments