Package: stockR Title: Identifying Stocks in Genetic Data Version: 1.0.76 Authors@R: c(person("Scott D.", "Foster", role = c("aut", "cre"), email = "scott.foster@data61.csiro.au")) Author: Scott D. Foster [aut, cre] Description: Provides a mixture model for clustering individuals (or sampling groups) into stocks based on their genetic profile. Here, sampling groups are individuals that are sure to come from the same stock (e.g. breeding adults or larvae). The mixture (log-)likelihood is maximised using the EM-algorithm after finding good starting values via a K-means clustering of the genetic data. Details can be found in: Foster, S. D.; Feutry, P.; Grewe, P. M.; Berry, O.; Hui, F. K. C. & Davies (2020) . License: GPL (>=2) LinkingTo: Rcpp Imports: Rcpp, stats, gtools, parallel, RColorBrewer, methods Suggests: knitr VignetteBuilder: knitr Repository: https://scott-foster.r-universe.dev Date/Publication: 2026-09-15 01:32:23 UTC RemoteUrl: https://github.com/scott-foster/stockr RemoteRef: HEAD RemoteSha: 08f94a0fe2077e4d2625e293c07f37d309132805 NeedsCompilation: yes Packaged: 2026-10-15 06:20:06 UTC; root Maintainer: Scott D. Foster