mi_mean

<code>mi_mean</code> computes the averages dataset over a list of imputed datasets.
Can be used to reduce computation time of functions <code>singleplot</code> and 
<code>pairplot</code>.

Derives prediction rule ensembles (PREs). Largely follows the
procedure for deriving PREs as described in Friedman & Popescu (2008;
<DOI:10.1214/07-AOAS148>), with adjustments and improvements. The
main function pre() derives prediction rule ensembles consisting of
rules and/or linear terms for continuous, binary, count, multinomial,
and multivariate continuous responses. Function gpe() derives
generalized prediction ensembles, consisting of rules, hinge and linear
functions of the predictor variables.

Marjolein Fokkema

Prediction Rule Ensembles

Benjamin Christoffersen

mi_mean function

<dl><dt>data</dt>
<dd>List of imputed datasets to compute the average dataset over.</dd></dl>

Arguments

Compute the average dataset over imputed datasets. — mi_mean

<dl>

<dt>data</dt>
<dd>List of imputed datasets to compute the average dataset over.</dd>

</dl>

mi_mean: Compute the average dataset over imputed datasets.

Description

Usage

Value

Arguments

Details

See Also