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In the\nprediction phase Gendis2unmix then applies the GDF to\nmeasurements of individuals of unknow sex or class. The cutoff\nvalue is determined by unmixing the distribution in terms of\ntwo normal distributions with unequal means and variances using\nan EM algorithm. The parametric approach taken in Gendis2unmix\nmake it suitable for small number of samples in both the\ntraining and prediction phase (say 20-100 per sex/population).", "License": "GPL-3 | file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.2.3", "Repository": "https://cajoterbraak.r-universe.dev", "Date/Publication": "2023-08-02 10:08:38 UTC", "RemoteUrl": "https://github.com/CajoterBraak/Gendis2unmix", "RemoteRef": "HEAD", "RemoteSha": "4770925420eca0c1a1672cb81165f6f6569950e1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-20 08:40:01 UTC", "User": "root" }, "MD5sum": "f8dbb5d4d8de4950ad590fbd29089536", "_user": "cajoterbraak", "_type": "src", "_file": "Gendis2unmix_0.1.1.tar.gz", "_fileid": "d84e14ce6ade67c3d36d5e753909d0a706447c686cce094c83e063340e562e6d", "_filesize": 132817, "_sha256": "d84e14ce6ade67c3d36d5e753909d0a706447c686cce094c83e063340e562e6d", "_created": "2026-05-20T08:40:01.000Z", "_published": "2026-06-02T13:34:50.945Z", "_distro": 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