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  "Package": "survinng",
  "Title": "Gradient-Based Feature Attribution for Survival Neural Networks",
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  "Description": "This package implements model-specific, gradient-based\nfeature attribution methods for deep survival neural networks,\nincluding DeepHit, CoxTime, and DeepSurv. It accompanies the\nICML 2025 paper \"Gradient-based Explanations for Deep Learning\nSurvival Models\".",
  "License": "MIT + file LICENSE",
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  "Encoding": "UTF-8",
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  "URL": "https://bips-hb.github.io/survinng/",
  "VignetteBuilder": "knitr",
  "Repository": "https://bips-hb.r-universe.dev",
  "Date/Publication": "2025-05-28 20:59:12 UTC",
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    "User": "root"
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  "Author": "Niklas Koenen [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-4623-8271>),\nSophie Hanna Langbein [aut] (ORCID:\n<https://orcid.org/0000-0001-5629-2055>)",
  "Maintainer": "Niklas Koenen <niklas.koenen@gmail.com>",
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      "title": "Convert survival attribution results to a data.frame",
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        "as.data.table.surv_result"
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