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PIE  

A Partially Interpretable Model with Black-Box Refinement
View on CRAN: Click here


Download and install PIE package within the R console
Install from CRAN:
install.packages("PIE")

Install from Github:
library("remotes")
install_github("cran/PIE")

Install by package version:
library("remotes")
install_version("PIE", "1.0.0")



Attach the package and use:
library("PIE")
Maintained by
Jingyi Yang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-01-27
Latest Update: 2025-01-27
Description:
Implements a novel predictive model, Partially Interpretable Estimators (PIE), which jointly trains an interpretable model and a black-box model to achieve high predictive performance as well as partial model. See the paper, Wang, Yang, Li, and Wang (2021) <doi:10.48550/arXiv.2105.02410>.
How to cite:
Jingyi Yang (2025). PIE: A Partially Interpretable Model with Black-Box Refinement. R package version 1.0.0, https://cran.r-project.org/web/packages/PIE. Accessed 05 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited PIE R package
View PIE citation profile
Other R packages that PIE depends, imports, suggests or enhances
Complete documentation for PIE
Functions, R codes and Examples using the PIE R package
Full PIE package functions and examples
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