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>.
Version: 1.0.0 Depends: R (≥ 3.5.0), gglasso, xgboost Imports: splines, stats Suggests: knitr, rmarkdown Published: 2025-01-27 DOI: 10.32614/CRAN.package.PIE Author: Tong Wang [aut], Jingyi Yang [aut, cre], Yunyi Li [aut], Boxiang Wang [aut] Maintainer: Jingyi Yang <jy4057 at stern.nyu.edu> License: GPL-2 NeedsCompilation: no Citation: PIE citation info CRAN checks: PIE results Documentation: Reference manual: PIE.pdf Vignettes: Introduction to PIE – A Partially Interpretable Model with Black-box Refinement (source)Please use the canonical form https://CRAN.R-project.org/package=PIE to link to this page.
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