# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "proxyC" in publications use:' type: software license: GPL-3.0-only title: 'proxyC: Computes Proximity in Large Sparse Matrices' version: 0.4.1 doi: 10.32614/CRAN.package.proxyC abstract: Computes proximity between rows or columns of large matrices efficiently in C++. Functions are optimised for large sparse matrices using the Armadillo and Intel TBB libraries. Among several built-in similarity/distance measures, computation of correlation, cosine similarity and Euclidean distance is particularly fast. authors: - family-names: Watanabe given-names: Kohei email: watanabe.kohei@gmail.com orcid: https://orcid.org/0000-0001-6519-5265 - family-names: Cannoodt given-names: Robrecht email: rcannood@gmail.com orcid: https://orcid.org/0000-0003-3641-729X repository: https://CRAN.R-project.org/package=proxyC repository-code: https://github.com/koheiw/proxyC url: https://github.com/koheiw/proxyC date-released: '2024-04-07' contact: - family-names: Watanabe given-names: Kohei email: watanabe.kohei@gmail.com orcid: https://orcid.org/0000-0001-6519-5265