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  "Title": "Estimating Density after Logarithmic or Power Transformation of\nData",
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  "Authors@R": "person(\"Olga\", \"Savchuk\", , \"olga.y.savchuk@gmail.com\", role = c(\"aut\", \"cre\", \"cph\"))",
  "Maintainer": "Olga Savchuk <olga.y.savchuk@gmail.com>",
  "Description": "Functions for computing: (1) the adaptive normal\nplug-in(PI) density estimate for data after the logarithmic\ntransformation; (2) the adaptive log-normal PI density estimate\nfor data after the power transformation with an exponent\nranging from zero to one; (3) the single-bandwidth PI density\nestimate for data after the logarithmic transformation; (4) the\nsingle-bandwidth PI density estimate for data after the power\ntransformation; (5) the data-driven bandwidth for the\nsingle-bandwidth PI estimator for data after the logarithmic\ntransformation; (6) the rule-of-thumb bandwidth for the\nsingle-bandwidth PI estimator for data after the power\ntransformation. For details, see the articles: (1) Savchuk, O.\n(2026) (submitted). Adaptive log-normal plug-in density\nestimator for power transformations. (2) Savchuk, O. (2026).\nDensity estimation for log-transformed data. Computational\nStatistics, 41(98) <doi:10.1007/s00180-026-01766-y>. (3)\nSavchuk, O., Schick A. (2013). Density estimation for power\ntransformations. Journal of Nonparametric Statistics, 25(3),\n545-559 <doi:10.1080/10485252.2013.811788>.",
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  "Author": "Olga Savchuk [aut, cre, cph]",
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