factorize_binary_vector

Integrating morphological modeling with machine learning to support
structured decision-making (e.g., in management and consulting). The package
enumerates a morphospace of feasible configurations and uses random forests
to estimate class probabilities over that space, bridging deductive model
exploration with empirical validation. It includes utilities for factorizing
inputs, model training, morphospace construction, and an interactive 'shiny'
app for scenario exploration.

Oskar Kosch

MLmorph

Integrating Morphological Modeling and Machine Learning for
Decision Support

factorize_binary_vector function

<dl><dt>data_vector</dt>
<dd>Logical vector.</dd>
<dt>custom_labels</dt>
<dd>Optional length-2 character vector: first for <code>TRUE</code>, second for <code>FALSE</code>.</dd></dl>

Arguments

Turn binary vector into a factor — factorize_binary_vector

<dl>

<dt>data_vector</dt>
<dd>Logical vector.</dd>


<dt>custom_labels</dt>
<dd>Optional length-2 character vector: first for <code>TRUE</code>, second for <code>FALSE</code>.</dd>

</dl>

factorize_binary_vector: Turn binary vector into a factor

Description

Usage

Value

Arguments

Examples