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  "Title": "Monotonic Binning for Credit Rating Models",
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  "Description": "Performs monotonic binning of numeric risk factor in\ncredit rating models (PD, LGD, EAD) development. All functions\nhandle both binary and continuous target variable. Functions\nthat use isotonic regression in the first stage of binning\nprocess have an additional feature for correction of minimum\npercentage of observations and minimum target rate per bin.\nAdditionally, monotonic trend can be identified based on raw\ndata or, if known in advance, forced by functions' argument.\nMissing values and other possible special values are treated\nseparately from so-called complete cases.",
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  "Repository": "https://andrija-djurovic.r-universe.dev",
  "Date/Publication": "2022-07-21 08:01:37 UTC",
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