lesh {gdverse} | R Documentation |
locally explained heterogeneity(LESH) model
Description
Function for locally explained heterogeneity model.
Usage
lesh(formula, data, cores = 1, ...)
Arguments
formula |
A formula of LESH model. |
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 |
Value
A list of LESH model result.
interaction
the interaction result of LESH model
spd_lesh
a tibble of the SHAP power of determinants
Note
The LESH model requires at least 2^n-1
calculations when has n
explanatory variables.
When there are more than 10 explanatory variables, carefully consider the computational burden of this model.
When there are a large number of explanatory variables, the data dimensionality reduction method can be used
to ensure the trade-off between analysis results and calculation speed.
Author(s)
Wenbo Lv lyu.geosocial@gmail.com
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 = lesh(NDVIchange ~ ., data = ndvi)
g