# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "cordillera" in publications use:' type: software license: - GPL-2.0-only - GPL-3.0-only title: 'cordillera: Calculation of the OPTICS Cordillera' version: 1.0-2 identifiers: - type: doi value: 10.32614/CRAN.package.cordillera abstract: Functions for calculating the OPTICS Cordillera. The OPTICS Cordillera measures the amount of 'clusteredness' in a numeric data matrix within a distance-density based framework for a given minimum number of points comprising a cluster, as described in Rusch, Hornik, Mair (2018) . We provide an R native version with methods for printing, summarizing, and plotting the result. authors: - family-names: Rusch given-names: Thomas email: thomas.rusch@wu.ac.at orcid: https://orcid.org/0000-0002-7773-2096 preferred-citation: type: manual title: 'cordillera: Calculation of the OPTICS Cordillera' authors: - family-names: Rusch given-names: Thomas email: thomas.rusch@wu.ac.at orcid: https://orcid.org/0000-0002-7773-2096 year: '2023' notes: R package version 1.0-2 url: https://r-forge.r-project.org/projects/stops/ repository: https://r-forge.r-universe.dev repository-code: https://r-forge.r-project.org/projects/stops/ commit: 559ecc7d83d011258bd112846ac5aa98b7145d65 url: https://r-forge.r-project.org/projects/stops/ date-released: '2023-04-19' contact: - family-names: Rusch given-names: Thomas email: thomas.rusch@wu.ac.at orcid: https://orcid.org/0000-0002-7773-2096 references: - type: article title: 'Assessing and quantifying clusteredness: The OPTICS Cordillera' authors: - family-names: Rusch given-names: Thomas email: thomas.rusch@wu.ac.at orcid: https://orcid.org/0000-0002-7773-2096 - family-names: Mair given-names: Patrick email: mair@fas.harvard.edu orcid: https://orcid.org/0000-0003-0100-6511 - family-names: Hornik given-names: Kurt email: Kurt.Hornik@R-project.org orcid: https://orcid.org/0000-0003-4198-9911 journal: Journal of Computational and Graphical Statistics issue: '1' volume: '27' year: '2018' doi: 10.1080/10618600.2017.1349664 start: 220-233