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  "Title": "Recent Methods for Kernel Density Estimation of Circular Data",
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  "Authors@R": "c(person(given = \"Stanislav\", family = \"Zamecnik\", email = \"zamecnik@math.muni.cz\", role = c(\"aut\", \"cre\")),\nperson(given = \"Ivanka\", family = \"Hórová\", email = \"horova@math.muni.cz\", role = c(\"aut\")),\nperson(given = \"Kamila\", family = \"Hasilová\", email = \"kamila.hasilova@unob.cz\", role = c(\"aut\")),\nperson(given = \"Stanislav\", family = \"Katina\", email = \"katina@math.muni.cz\", role = c(\"aut\")))",
  "Description": "Provides recent kernel density estimation methods for\ncircular data, including adaptive and higher-order techniques.\nThe implementation is based on recent advances in bandwidth\nselection and circular smoothing. Key methods include adaptive\nbandwidth selection methods by Zámečník et al. (2024)\n<doi:10.1007/s00180-023-01401-0>, complete cross-validation by\nHasilová et al. (2024) <doi:10.59170/stattrans-2024-024>,\nFourier-based plug-in rules by Tenreiro (2022)\n<doi:10.1080/10485252.2022.2057974>, and higher-order kernels\nby Tsuruta & Sagae (2017) <doi:10.1016/j.spl.2017.08.003>.",
  "License": "GPL-2",
  "Encoding": "UTF-8",
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  "URL": "https://github.com/stazam/circularKDE",
  "BugReports": "https://github.com/stazam/circularKDE/issues",
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  "Repository": "https://stazam.r-universe.dev",
  "Date/Publication": "2025-12-29 12:11:58 UTC",
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    "User": "root"
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  "Author": "Stanislav Zamecnik [aut, cre],\nIvanka Hórová [aut],\nKamila Hasilová [aut],\nStanislav Katina [aut]",
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