{ "_id": "6a22abe30ef520ea2f58bd3b", "Package": "stockR", "Title": "Identifying Stocks in Genetic Data", "Version": "1.0.76", "Authors@R": "c(person(\"Scott D.\", \"Foster\", role = c(\"aut\", \"cre\"),\nemail = \"scott.foster@data61.csiro.au\"))", "Author": "Scott D. Foster [aut, cre]", "Description": "Provides a mixture model for clustering individuals (or\nsampling groups) into stocks based on their genetic profile.\nHere, sampling groups are individuals that are sure to come\nfrom the same stock (e.g. breeding adults or larvae). The\nmixture (log-)likelihood is maximised using the EM-algorithm\nafter finding good starting values via a K-means clustering of\nthe genetic data. Details can be found in: Foster, S. D.;\nFeutry, P.; Grewe, P. M.; Berry, O.; Hui, F. K. C. & Davies\n(2020) .", "License": "GPL (>=2)", "VignetteBuilder": "knitr", "Repository": "https://scott-foster.r-universe.dev", "Date/Publication": "2023-04-26 07:16:12 UTC", "RemoteUrl": "https://github.com/scott-foster/stockr", "RemoteRef": "HEAD", "RemoteSha": "9953980affa103c33ca22101ba8e7baf47f87841", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-05 10:53:58 UTC", "User": "root" }, "Maintainer": "Scott D. 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