chiScores

miScores

randScores

These functions define scores to evaluate candidate
splits along a single margin within partition.

An iterative implementation of a recursive binary partitioning algorithm to measure pairwise dependence with a modular design that allows user specification of the splitting logic and stop criteria. Helper functions provide suggested versions of both and support visualization and the computation of summary statistics on final binnings. For a complete description of the functionality and algorithm, see Salahub and Oldford (2023) <doi:10.48550/arXiv.2311.08561>.

Chris Salahub

AssocBin

Measuring Association with Recursive Binning

chiScores function

<dl><dt>bounds</dt>
<dd>numeric vector giving candidate split bounds in
increasing order</dd>
<dt>nbelow</dt>
<dd>integer vector giving the number of points below
each candidate split</dd>
<dt>n</dt>
<dd>the total number of points in the bin to be split</dd></dl>

Arguments

<ul>
<li><code>chiScores()</code>: A chi-squared statistic score</li>
<li><code>miScores()</code>: A mutual information score</li>
<li><code>randScores()</code>: A random score for random splitting</li>
</ul>

Functions

Author

Scoring functions to choose splits — chiScores

<dl>

<dt>bounds</dt>
<dd>numeric vector giving candidate split bounds in
increasing order</dd>


<dt>nbelow</dt>
<dd>integer vector giving the number of points below
each candidate split</dd>


<dt>n</dt>
<dd>the total number of points in the bin to be split</dd>

</dl>

chiScores: Scoring functions to choose splits

Description

Usage

Value

Arguments

Functions

Author

Details

Examples