predict.scf_model_result

Calculates predicted values for a new data set (or the original data)
by pooling predictions across all multiply-imputed models.

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

predict.scf_model_result function

<dl><dt>object</dt>
<dd>An object of class 'scf_model_result'.</dd>
<dt>newdata</dt>
<dd>A data frame containing variables for which to predict.
If missing, predictions are made on the original data (from the first implicate).</dd>
<dt>type</dt>
<dd>Character string specifying the type of prediction.
Options are "link" (default, linear predictor) or "response" (fitted values on the outcome scale).</dd>
<dt>...</dt>
<dd>Additional arguments passed to predict.glm.</dd></dl>

Arguments

Generic S3 Method: predict.scf_model_result — predict.scf_model_result

<dl>

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


<dt>newdata</dt>
<dd>A data frame containing variables for which to predict.
If missing, predictions are made on the original data (from the first implicate).</dd>


<dt>type</dt>
<dd>Character string specifying the type of prediction.
Options are "link" (default, linear predictor) or "response" (fitted values on the outcome scale).</dd>


<dt>...</dt>
<dd>Additional arguments passed to predict.glm.</dd>

</dl>

predict.scf_model_result: Generic S3 Method: predict.scf_model_result

Description

Usage

Value

Arguments