# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "GAPR" in publications use:' type: software license: MIT title: 'GAPR: Generalized Association Plots' version: 0.1.5 doi: 10.32614/CRAN.package.GAPR abstract: Provides a comprehensive framework for visualizing associations and interaction structures in matrix-formatted data using Generalized Association Plots (GAP). The package implements multiple proximity computation methods (e.g., correlation, distance metrics), ordering techniques including hierarchical clustering (HCT) and Rank-2-Ellipse (R2E) seriation, and optional flipping strategies to enhance visual symmetry. It supports a variety of covariate-based color annotations, allows flexible customization of layout and output, and is suitable for analyzing multivariate data across domains such as social sciences, genomics, and medical research. The method is based on Generalized Association Plots introduced by Chen (2002) and further extended by Wu, Tien, and Chen (2010) . authors: - family-names: Lin given-names: Shu-Yu email: shuyuuu89@gmail.com - family-names: Kao given-names: Chiun-How email: 157294@mail.tku.edu.tw - family-names: Chen given-names: Chun-Houh email: cchen@stat.sinica.edu.tw repository: https://shuyyu.r-universe.dev commit: de2eff3fb3c88aba27c09472061af57353b3e325 date-released: '2026-03-31' contact: - family-names: Lin given-names: Shu-Yu email: shuyuuu89@gmail.com