# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "midr" in publications use:' type: software license: MIT title: 'midr: Learning from Black-Box Models by Maximum Interpretation Decomposition' version: 0.6.1.900 identifiers: - type: doi value: 10.32614/CRAN.package.midr abstract: 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) . authors: - family-names: Asashiba given-names: Ryoichi email: ryoichi.asashiba@gmail.com orcid: https://orcid.org/0009-0001-9532-7000 - family-names: Iwasawa given-names: Hirokazu preferred-citation: type: generic title: 'midr: Learning from Black-Box Models by Maximum Interpretation Decomposition' authors: - family-names: Asashiba given-names: Ryoichi email: ryoichi.asashiba@gmail.com orcid: https://orcid.org/0009-0001-9532-7000 - family-names: Kozuma given-names: Reiji - family-names: Iwasawa given-names: Hirokazu year: '2025' url: https://arxiv.org/abs/2506.08338 repository: https://ryo-asashi.r-universe.dev repository-code: https://github.com/ryo-asashi/midr commit: 510310eef88ae6d4932d3e74de73fcc12167ddcc url: https://ryo-asashi.github.io/midr/ date-released: '2026-05-04' contact: - family-names: Asashiba given-names: Ryoichi email: ryoichi.asashiba@gmail.com orcid: https://orcid.org/0009-0001-9532-7000