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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.", "License": "GPL (>= 3)", "URL": "https://github.com/andrija-djurovic/monobin", "Encoding": "UTF-8", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.1.1", "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev", "Repository": "https://andrija-djurovic.r-universe.dev", "Date/Publication": "2022-07-21 08:01:37 UTC", "RemoteUrl": "https://github.com/andrija-djurovic/monobin", "RemoteRef": "HEAD", "RemoteSha": "399d18e9c88fac9b6e9e069d8d72fe34a4ae5e34", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-26 08:41:16 UTC", "User": "root" }, 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