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  "Description": "This project extends 'R' with a mechanism for efficient\nparallel data access by utilizing 'C++' shared memory. Large\ndata objects can be accessed and manipulated directly from 'R'\nwithout redundant copying, providing both speed and memory\nefficiency. Memshare was published in Thrun, M.C., Maerte J.:\n\"Memshare: Memory Sharing for Multicore Computation in R with\nan Application to Feature Selection by Mutual Information using\nPDE\" (2026), R Journal, <DOI:10.32614/RJ-2025-043>.",
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      "fileid": "https://r2.ropensci.org/dcdd7eda451691040d0fa28716af251b095959b2af66a5f4ca10fa2722ff5f2a",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mthrun/actions/runs/38254522938"
    }
  ]
}