find_minimal_sets

Given a character vector of sets (each set encoded as variable names joined by
a separator), returns the subset of sets that are minimal: no returned set
is a strict superset of another. Duplicates and ordering differences are
handled according to the implementation.

Create sets of variables based on a mutual
information approach. In this context, a set is a collection of
distinct elements (e.g., variables) that can also be treated as a
single entity.  Mutual information, a concept from probability theory,
quantifies the dependence between two variables by expressing how much
information about one variable can be gained from observing the other.
Furthermore, you can analyze, and visualize
these sets in order to better understand the relationships among
variables.

Nicolas Leenaerts

setweaver

Building Sets of Variables in a Probabilistic Framework

Aaron Fisher

find_minimal_sets function

<dl><dt>str_vec</dt>
<dd>Character vector of set strings for which to find minimally
sufficient sets (e.g., `c("x1_x2", "x1_x2_x3")`).</dd>
<dt>sep</dt>
<dd>Character string used as the separator between variables in each
set. Defaults to `"_"`.</dd></dl>

Arguments

find_minimal_sets — find_minimal_sets

<dl>

<dt>str_vec</dt>
<dd>Character vector of set strings for which to find minimally
sufficient sets (e.g., `c("x1_x2", "x1_x2_x3")`).</dd>


<dt>sep</dt>
<dd>Character string used as the separator between variables in each
set. Defaults to `"_"`.</dd>

</dl>

find_minimal_sets: find_minimal_sets

Description

Usage

Value

Arguments

Examples