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) <doi:10.1111/1755-0998.12920>.
License: GPL (>= 2)
LinkingTo: Rcpp
Imports: Rcpp, stats, gtools, parallel, RColorBrewer, methods
Suggests: knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-04-26 06:52:04 UTC; fos085
Maintainer: Scott D. Foster <scott.foster@data61.csiro.au>
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2023-04-26 08:00:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 04:06:01 UTC; unix
Archs: stockR.so.dSYM
