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  "Title": "Dynamic Trees for Learning and Design",
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  "Description": "Inference by sequential Monte Carlo for dynamic tree\nregression and classification models with hooks provided for\nsequential design and optimization, fully online learning with\ndrift, variable selection, and sensitivity analysis of inputs.\nIllustrative examples from the original dynamic trees paper\n(Gramacy, Taddy & Polson (2011);\n<doi:10.1198/jasa.2011.ap09769>) are facilitated by demos in\nthe package; see demo(package=\"dynaTree\").",
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      "title": "Dynamic trees for learning and design",
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      "title": "Calculate the ALC or predictive entropy statistic at the X locations, or ALC at new XX predictive locations",
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        "alcX.dynaTree",
        "entropyX.dynaTree"
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      "title": "Class \"dynaTree\"",
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        "alc,dynaTree-method",
        "alc-methods",
        "alcX",
        "alcX,dynaTree-method",
        "alcX-methods",
        "classprobs",
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