An extensible framework to create and preprocess
design matrices. Recipes consist of one or more data manipulation
and analysis "steps". Statistical parameters for the steps can
be estimated from an initial data set and then applied to
other data sets. The resulting design matrices can then be used
as inputs into statistical or machine learning models.

Preprocessing Tools to Create Design Matrices

package-ubuntu-20.04-r-4.0.5#cran#recipes-0.1.16

These objects are imported from other packages. Follow the links
below to see their documentation.

<dl>
<dt>generics</dt>
<dd>
<code><a href="../../generics/html/required_pkgs.html">required_pkgs</a></code>, <code><a href="../../generics/html/tidy.html">tidy</a></code>, <code><a href="../../generics/html/tunable.html">tunable</a></code>
</dd>
<dt>magrittr</dt>
<dd>
<code><a href="../../magrittr/html/pipe.html">%&gt;%</a></code>
</dd>
<dt>stats</dt>
<dd>
<code><a href="../../stats/html/update.html">update</a></code>
</dd>
</dl>

package-ubuntu-20.04-r-4.0.5#cran#recipes-0.1.16#docs#reexports

reexports

Description

recipes

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