gdverse (version 1.3-1)

spd_lesh: shap power of determinants

Description

Function for calculate shap power of determinants \(SPD\).

Usage

spd_lesh(formula, data, cores = 1, ...)

Value

A tibble with variable and its corresponding \(SPD\) value.

Arguments

formula

A formula of calculate shap power of determinants.

data

A data.frame or tibble of observation data.

cores

(optional) A positive integer(default is 1). If cores > 1, a 'parallel' package cluster with that many cores is created and used. You can also supply a cluster object.

...

(optional) Other arguments passed to rpart_disc().

Author

Wenbo Lv

Details

The power of shap power of determinants formula is

\(\theta_{x_j} \left( S \right) = \sum\limits_{s \in M \setminus \{x_j\}} \frac{|S|! \left(|M| - |S| - 1\right)!}{|M|!}\left(v \left(S \cup \left\{x_j\right\} \right) - v\left(S\right)\right)\).

shap power of determinants (SPD) is the contribution of variable \(x_j\) to the power of determinants.

References

Li, Y., Luo, P., Song, Y., Zhang, L., Qu, Y., & Hou, Z. (2023). A locally explained heterogeneity model for examining wetland disparity. International Journal of Digital Earth, 16(2), 4533–4552. https://doi.org/10.1080/17538947.2023.2271883

Examples

data('ndvi')
g = spd_lesh(NDVIchange ~ ., data = ndvi)
g