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  "Title": "Virtual Noise Algorithm for Computing D-Optimal Designs with\nCorrelated Observations",
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  "Description": "Provides an implementation of the Virtual Noise algorithm\nfor D-optimal experimental designs under correlated\nobservations. The package supports flexible covariance\nstructures, multi-dimensional candidate sets, and analytical or\nnumerical computation of regression gradients. It offers a\nunified framework for constructing design matrices, defining\ncovariance models, and computing optimal design measures.",
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    "Date": "2026-09-29 08:33:03 UTC",
    "User": "root"
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  "Author": "Àngela Sebastià Bargues [aut, cre], Irene García-Camacha\nGutiérrez [aut]",
  "Maintainer": "Àngela Sebastià Bargues <angela.sebastia@uv.es>",
  "Repository": "https://angelasebastia.r-universe.dev",
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      "page": "build_Sigma",
      "title": "Build a covariance matrix Sigma",
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      "title": "Virtual Noise algorithm for D-optimal design",
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      "title": "Main interface for constructing D-optimal designs using the Virtual Noise algorithm",
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