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  "Date": "2026-01-19",
  "Title": "Maximum Entropy Bootstrap for Time Series",
  "Authors@R": "c(\nperson(given = c(\"Hrishikesh\", \"D.\"), family = \"Vinod\", role = \"aut\", email = \"Vinod@fordham.edu\"),\nperson(given = \"Javier\", family = \"López-de-Lacalle\", role = \"aut\", email = \"javlacalle@yahoo.es\"),\nperson(given = \"Fred\", family = \"Viole\", role = c(\"aut\", \"cre\"), email = \"ovvo.open.source@gmail.com\")\n)",
  "Maintainer": "Fred Viole <ovvo.open.source@gmail.com>",
  "Encoding": "UTF-8",
  "Description": "Maximum entropy density based dependent data bootstrap. An\nalgorithm is provided to create a population of time series\n(ensemble) without assuming stationarity. The reference paper\n(Vinod, H.D., 2004 <DOI:10.1016/j.jempfin.2003.06.002>)\nexplains how the algorithm satisfies the ergodic theorem and\nthe central limit theorem.",
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    "User": "root"
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  "Author": "Hrishikesh D. Vinod [aut], Javier López-de-Lacalle [aut], Fred\nViole [aut, cre]",
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    "meboot.part",
    "meboot.pdata.frame",
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