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  "Package": "MLSP",
  "Type": "Package",
  "Title": "Machine Learning Models for Soil Properties",
  "Version": "0.1.0",
  "Authors@R": "c(\nperson(\"Pengyuan\", \"Chen\",\nrole = c(\"aut\", \"cre\"),\nemail = \"pch276@uky.edu\"),\nperson(\"Christopher\", \"Clingensmith\",\nrole = \"aut\",\nemail = \"toshi.m@uky.edu\"),\nperson(\"Chenglong\", \"Ye\",\nrole = \"aut\",\nemail = \"chenglong.ye@uky.edu\"),\nperson(\"Sabine\", \"Grunwald\",\nrole = \"aut\",\nemail = \"toshi.m@uky.edu\"),\nperson(\"Katsutoshi\", \"Mizuta\",\nrole = \"aut\",\nemail = \"toshi.m@uky.edu\")\n)",
  "Description": "Creates a spectroscopy guideline with a highly accurate\nprediction model for soil properties using machine learning or\ndeep learning algorithms such as LASSO, Random Forest, Cubist,\netc., and decide which algorithm generates the best model for\ndifferent soil types.",
  "License": "GPL-2",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.3.3",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-11 09:27:22 UTC",
    "User": "root"
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  "Author": "Pengyuan Chen [aut, cre], Christopher Clingensmith [aut],\nChenglong Ye [aut], Sabine Grunwald [aut], Katsutoshi Mizuta\n[aut]",
  "Maintainer": "Pengyuan Chen <pch276@uky.edu>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-10-08 19:40:21 UTC",
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      "package": "pls",
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    "cubist_preprocess",
    "lasso_preprocess",
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    "ml_f",
    "msd.comp",
    "pcr_preprocess",
    "plsr_preprocess",
    "raw",
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    {
      "page": "colsMean",
      "title": "Compute Row-wise Means for Groups of Columns",
      "topics": [
        "colsMean"
      ]
    },
    {
      "page": "merge_of_lab_and_spectrum",
      "title": "Merge Soil Laboratory Data with Spectral Data",
      "topics": [
        "merge_of_lab_and_spectrum"
      ]
    },
    {
      "page": "ml_f",
      "title": "Machine Learning Function for Soil Spectral Data",
      "topics": [
        "ml_f"
      ]
    },
    {
      "page": "msd.comp",
      "title": "Compute Model Evaluation Metrics",
      "topics": [
        "msd.comp"
      ]
    },
    {
      "page": "raw",
      "title": "Aggregate VNIR Spectra by Columns",
      "topics": [
        "raw"
      ]
    },
    {
      "page": "soil_preprocess",
      "title": "Soil and Spectral Data Preprocessing for Model Training",
      "topics": [
        "cubist_preprocess",
        "lasso_preprocess",
        "pcr_preprocess",
        "plsr_preprocess",
        "results",
        "rf_preprocess",
        "soil_preprocess"
      ]
    }
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    "codetools",
    "Cubist",
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    "lifecycle",
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    "RcppEigen",
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    "rlang",
    "shape",
    "stringi",
    "stringr",
    "survival",
    "vctrs"
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  "_indexed": true,
  "_nocasepkg": "mlsp",
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