{
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  "Title": "The (Adaptive) Elastic Net and Lasso Penalized Sparse Asymmetric\nLeast Squares (SALES) and Coupled Sparse Asymmetric Least\nSquares (COSALES) using Coordinate Descent and Proximal\nGradient Algorithms",
  "Version": "1.0.2",
  "Author": "Yuwen Gu <yuwen.gu@uconn.edu>, Hui Zou <zouxx019@umn.edu>",
  "Maintainer": "Yuwen Gu <yuwen.gu@uconn.edu>",
  "Description": "A coordinate descent algorithm for computing the solution\npaths of the sparse and coupled sparse asymmetric least\nsquares, including the (adaptive) elastic net and Lasso\npenalized SALES and COSALES regressions.",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
  "URL": "https://github.com/knightgu/SALES",
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  "RoxygenNote": "7.2.1",
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    "User": "root"
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  "Date/Publication": "2022-08-15 17:30:16 UTC",
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      "title": "Extract Model Coefficients",
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      ]
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      "title": "Plot coefficients from a cpernet object",
      "topics": [
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    },
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      "title": "Plot the cross-validated curve produced by cv.cpernet",
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      "page": "plot.ernet",
      "title": "Plot coefficients from an ernet object",
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    },
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      "topics": [
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      "page": "predict.cpernet",
      "title": "Make predictions from a cpernet object",
      "topics": [
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        "predict.cpernet"
      ]
    },
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      "page": "predict.cv.cpernet",
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      "title": "Make predictions from a cv.ernet object",
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    },
    {
      "page": "print.cpernet",
      "title": "Print a cpernet object",
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    },
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