Add Uncertainty to Data Visualisations R package ggdibbler version 0.6.5 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. Software Depends: R (>= 4.1.0) Imports: distributional, dplyr, ggplot2, rlang, lifecycle, scales, tidyr, tibble, cli, sf Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vdiffr, mgcv, fable, urca, gganimate, tidyverse, tidygraph, ggthemes, gifski, ggridges, quantreg, ggdist, ggraph, feasts, patchwork Harriet Mason <harriet.m.mason@gmail.com> Comprehensive R Archive Network (CRAN) Harriet Mason [aut, cre] (ORCID: <https://orcid.org/0009-0007-4568-8215>), Dianne Cook [aut, ths] (ORCID: <https://orcid.org/0000-0002-3813-7155>), Sarah Goodwin [aut, ths] (ORCID: <https://orcid.org/0000-0001-8894-8282>), Susan VanderPlas [aut, ths] (ORCID: <https://orcid.org/0000-0002-3803-0972>) GPL-3 2026-05-13 application/tgz https://CRAN.R-project.org/package=ggdibbler doi:10.32614/CRAN.package.ggdibbler