It was developed as a tool for exploring 'PPTreereg' (Projection Pursuit TREE of REGression). It uses various projection pursuit indexes and 'XAI' (eXplainable Artificial Intelligence) methods to help understand the model by finding connections between the input variables and prediction values of the model. The 'KernelSHAP' (Aas, Jullum and Løland (2019) <arXiv:1903.10464>) algorithm was modified to fit ‘PPTreereg’, and some codes were modified from the 'shapr' package (Sellereite, Nikolai, and Martin Jullum (2020) <doi:10.21105/joss.02027>). The implemented methods help to explore the model at the single instance level as well as at the whole dataset level. Users can compare with other machine learning models by applying it to the 'DALEX' package of 'R'.
Package details 


Author  EunKyung Lee [aut, ctb], HyunSun Cho [aut, cre], Nikolai Sellereite [ctb, cph] (Author of included shapr fragments), Martin Jullum [ctb, cph] (Author of included shapr fragments), Annabelle Redelmeier [ctb, cph] (Author of included shapr fragments), Norsk Regnesentral [cph] 
Maintainer  HyunSun Cho <sunsmiling@naver.com> 
License  GPL3 
Version  2.0.5 
URL  https://github.com/sunsmiling/PPtreeregViz 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.