# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "stockR" in publications use:' type: software license: GPL-2.0-or-later title: 'stockR: Identifying Stocks in Genetic Data' version: 1.0.76 identifiers: - type: doi value: 10.32614/CRAN.package.stockR abstract: '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) .' authors: - family-names: Foster given-names: Scott D. email: scott.foster@data61.csiro.au preferred-citation: type: article title: 'Reliably discriminating stock structure with genetic markers: Mixture models with robust and fast computation' authors: - name: S.D. Foster - name: P. Feutry - name: P.M. Grewe - name: O. Berry - name: F.K.C. Berry - name: C.R. Davies year: '2018' journal: Molecular Ecology Resources volume: '18' start: 1310-1325 repository: https://CRAN.R-project.org/package=stockR date-released: '2023-04-26' contact: - family-names: Foster given-names: Scott D. email: scott.foster@data61.csiro.au