selFreq

counts how many times each predictor variable was selected for splitting
 in a random forest. Only implemented for <code>cforest</code> form the party
 package.

tree

An add-on to the 'party' package, with a faster implementation
of the partial-conditional permutation importance for random forests. The
standard permutation importance is implemented exactly the same as in
the 'party' package. The conditional permutation importance can be
computed faster, with an option to be backward compatible to the 'party'
implementation. The package is compatible with random forests fit using the
'party' and the 'randomForest' package. The methods are described in
Strobl et al. (2007) <doi:10.1186/1471-2105-8-25> and
Debeer and Strobl (2020) <doi:10.1186/s12859-020-03622-2>.

Dries Debeer

permimp

Conditional Permutation Importance

Torsten Hothorn

Carolin Strobl

selFreq function

<dl> <dt>object</dt>
<dd>an object as returned by <code>cforest</code>.</dd> <dt>whichxnames</dt>
<dd>a character vector containing the predictor variable names that for 
 which the permutation importance should be computed. See section 'Details'.</dd>
 
</dl>

Arguments

Predictor Selection Frequency in Random Forests — selFreq

<dl>

 <dt>object</dt>
<dd>an object as returned by <code>cforest</code>.</dd>

 <dt>whichxnames</dt>
<dd>a character vector containing the predictor variable names that for 
 which the permutation importance should be computed. See section 'Details'.</dd>
 
</dl>

selFreq: Predictor Selection Frequency in Random Forests

Description

Usage

Value

Arguments

Details

See Also

Examples