AIC.scf_model_result

Extracts the mean of the Akaike Information Criterion (AIC) across implicates.

Analyze public-use micro data from the Survey of Consumer Finances.
Provides tools to download prepared data files, construct replicate-weighted
multiply imputed survey designs, compute descriptive statistics and model
estimates, and produce plots and tables. Methods follow design-based inference
for complex surveys and pooling across multiple imputations. See the package
website and the code book for background.

Joseph Cohen

Analyzing the Survey of Consumer Finances

AIC.scf_model_result function

<dl><dt>object</dt>
<dd>An object of class 'scf_model_result'.</dd>
<dt>k</dt>
<dd>The penalty term (2 for AIC, log(n) for BIC). Defaults to 2.</dd>
<dt>...</dt>
<dd>Not used.</dd></dl>

Arguments

Generic S3 Method: AIC.scf_model_result — AIC.scf_model_result

<dl>

<dt>object</dt>
<dd>An object of class 'scf_model_result'.</dd>


<dt>k</dt>
<dd>The penalty term (2 for AIC, log(n) for BIC). Defaults to 2.</dd>


<dt>...</dt>
<dd>Not used.</dd>

</dl>

AIC.scf_model_result: Generic S3 Method: AIC.scf_model_result

Description

Usage

Value

Arguments