p.combos

Creates a matrix representing all possible combinations of <code>n.pair</code> variables.
Each row corresponds to a unique combination, and each column represents a variable
where 1 indicates inclusion and <code>conj</code> indicates exclusion.

internal

Logic Forest is an ensemble machine learning method that identifies important and interpretable combinations of binary predictors using logic regression trees to model complex relationships with an outcome. Wolf, B.J., Slate, E.H., Hill, E.G. (2010) <doi:10.1093/bioinformatics/btq354>.

Melica Nikahd

LogicForest

Logic Forest

Bethany Wolf

Andrew Gothard

Madison Hyer

p.combos function

<dl><dt>n.pair</dt>
<dd>Integer. Number of predictors in the combination.</dd>
<dt>conj</dt>
<dd>Numeric. Value denoting absence of a variable in a combination (default is 0).</dd></dl>

Arguments

Bethany Wolf <a href="/link/wolfb%40musc.edu?package=LogicForest&version=2.1.3" data-mini-rdoc="LogicForest::wolfb@musc.edu">wolfb@musc.edu</a>

Author

Generate All Combinations of N Variables with a Specified Conjunction Value — p.combos

<dl>

<dt>n.pair</dt>
<dd>Integer. Number of predictors in the combination.</dd>


<dt>conj</dt>
<dd>Numeric. Value denoting absence of a variable in a combination (default is 0).</dd>

</dl>

Bethany Wolf <a href='mailto:wolfb@musc.edu'>wolfb@musc.edu</a>

p.combos: Generate All Combinations of N Variables with a Specified Conjunction Value

Description

Usage

Value

Arguments

Author

Details