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  "Title": "Ordered Random Forests",
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  "Author": "Gabriel Okasa [aut, cre], Michael Lechner [ctb]",
  "Maintainer": "Gabriel Okasa <okasa.gabriel@gmail.com>",
  "Description": "An implementation of the Ordered Forest estimator as\ndeveloped in Lechner & Okasa (2019) <arXiv:1907.02436>. The\nOrdered Forest flexibly estimates the conditional probabilities\nof models with ordered categorical outcomes (so-called ordered\nchoice models). Additionally to common machine learning\nalgorithms the 'orf' package provides functions for estimating\nmarginal effects as well as statistical inference thereof and\nthus provides similar output as in standard econometric models\nfor ordered choice. The core forest algorithm relies on the\nfast C++ forest implementation from the 'ranger' package\n(Wright & Ziegler, 2017) <arXiv:1508.04409>.",
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