sandboxMaxSplit: Bivariate score maximizing splitting

In AssocBin: Measuring Association with Recursive Binning

Bivariate score maximizing splitting

Description

A function which splits a bin based on the location maximizing a score function.

Usage

sandboxMaxSplit(
  bin,
  scorer,
  ties = halfCutTie,
  minExp = 5,
  pickMax = which.max,
  ...
)

Arguments

bin	a bin to be split with elements 'x', 'y', 'depth', 'bnds' (list with elements 'x' and 'y'), 'expn', 'n'
scorer	function which accepts a numeric vector of potential split coordinates and the bounds of 'bin' and returns a numeric vector of scores for each
ties	function which is called to break ties when all splits generate the same score
minExp	value giving the smallest expected count allowed for bin splits
pickMax	function which accepts a list of scores and returns the element of the largest score according to some rule
...	optional additional arguments to 'scorer'

Details

This function serves as a wrapper which manages the interaction of a score function, marginal splitting functions, tie breaking function, and a maximum selection function to split a bin at the observation coordinate which maximizes the score function.

Value

A list of two bins resulting from the split of 'bin' along the corresponding margin at the maximum location

Author(s)

Chris Salahub

AssocBin documentation built on April 3, 2025, 7:46 p.m.