# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "ggdibbler" in publications use:' type: software license: GPL-3.0-only title: 'ggdibbler: Add Uncertainty to Data Visualisations' version: 0.6.5.9000 doi: 10.32614/CRAN.package.ggdibbler abstract: A 'ggplot2' extension for visualising uncertainty with the goal of signal suppression. Usually, uncertainty visualisation focuses on expressing uncertainty as a distribution or probability, whereas 'ggdibbler' differentiates itself by viewing an uncertainty visualisation as an adjustment to an existing graphic that incorporates the inherent uncertainty in the estimates. You provide the code for an existing plot, but replace any of the variables with a vector of distributions, and it will convert the visualisation into it's signal suppression counterpart. authors: - family-names: Mason given-names: Harriet email: harriet.m.mason@gmail.com orcid: https://orcid.org/0009-0007-4568-8215 - family-names: Cook given-names: Dianne email: dicook@monash.edu orcid: https://orcid.org/0000-0002-3813-7155 - family-names: Goodwin given-names: Sarah email: sarah.goodwin@monash.edu orcid: https://orcid.org/0000-0001-8894-8282 - family-names: VanderPlas given-names: Susan email: susan.vanderplas@unl.edu orcid: https://orcid.org/0000-0002-3803-0972 repository: https://harriet-mason.r-universe.dev repository-code: https://github.com/harriet-mason/ggdibbler commit: fe4939729bdead79ccd2c4edf372ab9b1e1fa2a5 url: https://harriet-mason.github.io/ggdibbler/ date-released: '2026-05-13' contact: - family-names: Mason given-names: Harriet email: harriet.m.mason@gmail.com orcid: https://orcid.org/0009-0007-4568-8215