midr: Learning from Black-Box Models by Maximum Interpretation Decomposition

The goal of 'midr' is to provide a model-agnostic method for interpreting and explaining black-box predictive models by creating a globally interpretable surrogate model. The package implements 'Maximum Interpretation Decomposition' (MID), a functional decomposition technique that finds an optimal additive approximation of the original model. This approximation is achieved by minimizing the squared error between the predictions of the black-box model and the surrogate model. The theoretical foundations of MID are described in Iwasawa & Matsumori (2025) [Forthcoming], and the package itself is detailed in Asashiba et al. (2025) <doi:10.48550/arXiv.2506.08338>.

Version:	0.5.0
Imports:	graphics, grDevices, RcppEigen, rlang, stats, utils
Suggests:	datasets, ggplot2, khroma, knitr, RColorBrewer, rmarkdown, scales, shapviz, testthat, viridisLite
Published:	2025-06-23
DOI:	10.32614/CRAN.package.midr
Author:	Ryoichi Asasihba [aut, cre], Hirokazu Iwasawa [aut], Reiji Kozuma [ctb]
Maintainer:	Ryoichi Asasihba <ryoichi.asashiba at gmail.com>
BugReports:	https://github.com/ryo-asashi/midr/issues
License:	MIT + file LICENSE
URL:	https://github.com/ryo-asashi/midr, https://ryo-asashi.github.io/midr/
NeedsCompilation:	no
Citation:	midr citation info
Materials:	README NEWS
CRAN checks:	midr results

Documentation:

Reference manual:

midr.pdf

Downloads:

Package source:	midr_0.5.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): midr_0.5.0.tgz, r-oldrel (arm64): midr_0.5.0.tgz, r-release (x86_64): midr_0.5.0.tgz, r-oldrel (x86_64): midr_0.5.0.tgz

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