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  "Description": "Filling in the missing entries of a partially observed\ndata is one of fundamental problems in various disciplines of\nmathematical science. For many cases, data at our interests\nhave canonical form of matrix in that the problem is posed upon\na matrix with missing values to fill in the entries under\npreset assumptions and models. We provide a collection of\nmethods from multiple disciplines under Matrix Completion,\nImputation, and Inpainting. See Davenport and Romberg (2016)\n<doi:10.1109/JSTSP.2016.2539100> for an overview of the topic.",
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  "Date/Publication": "2025-09-21 03:06:29 UTC",
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      "version": "0.2.4",
      "date": "2026-10-18T08:36:32.000Z",
      "arch": "x86_64",
      "commit": "597f17c3d1022e2c1384cd6bcfb21398f39e05f7",
      "fileid": "https://r2.ropensci.org/022b0559cf28265f794e7a522806e159fb184f923610d746f981782e6e0cc7c0",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/kisungyou/actions/runs/39111761919"
    }
  ]
}