show_var

Show m sets of imputed values for a specified variable.

Multiple imputation using 'XGBoost', subsampling, and predictive mean
matching as described in Deng and Lumley (2024)
<doi:10.1080/10618600.2023.2252501>. The package supports various types of
variables, offers flexible settings, and enables saving an imputation model to impute
new data. Data processing and memory usage have been optimised to speed up
the imputation process.

Yongshi Deng

mixgb

Multiple Imputation Through 'XGBoost'

Thomas Lumley

show_var function

<dl><dt>data</dt>
<dd>The original data with missing data.</dd>
<dt>imp_list</dt>
<dd>A list of <code>m</code> imputed datasets returned by the <code>mixgb</code> imputer.</dd>
<dt>x</dt>
<dd>The name of a variable of interest.</dd>
<dt>true_values</dt>
<dd>A vector of the true values (if known) of the missing values. In general, this is unknown.</dd></dl>

Arguments

Show multiply imputed values for a single variable — show_var

<dl>

<dt>data</dt>
<dd>The original data with missing data.</dd>


<dt>imp_list</dt>
<dd>A list of <code>m</code> imputed datasets returned by the <code>mixgb</code> imputer.</dd>


<dt>x</dt>
<dd>The name of a variable of interest.</dd>


<dt>true_values</dt>
<dd>A vector of the true values (if known) of the missing values. In general, this is unknown.</dd>

</dl>

show_var: Show multiply imputed values for a single variable

Description

Usage

Value

Arguments

Examples