{
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  "Package": "conjurer",
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  "Title": "A Parametric Method for Generating Synthetic Data",
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  "Date": "2023-01-15",
  "Authors@R": "person(\"Sidharth\", \"Macherla\", email = \"msidharthrasik@gmail.com\",\nrole = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-4825-2026\"))",
  "Description": "Generates synthetic data distributions to enable testing\nvarious modelling techniques in ways that real data does not\nallow. Noise can be added in a controlled manner such that the\ndata seems real. This methodology is generic and therefore\nbenefits both the academic and industrial research.",
  "License": "MIT + file LICENSE",
  "URL": "https://www.foyi.co.nz/posts/documentation/documentationconjurer/",
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  "Date/Publication": "2024-06-23 22:05:34 UTC",
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    "synthetic-data",
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      "title": "Build a Unique Customer Identifier",
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      ]
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      "title": "Generate Synthetic Data using uncovr API",
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      "title": "Build Spikes in the Data Distribution",
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