A Unified Toolkit for Visualising Statistical Models and Data R package depictr version 0.3.0 A cohesive, publication-ready toolkit of plots that span the whole analysis workflow with one consistent look. It covers exploratory data analysis (distributions, categorical summaries, bivariate plots, scatter-plot matrices, correlation heatmaps, missing-data maps, outliers, estimation statistics and descriptive tables); multivariate analysis, clustering with diagnostics and Kaplan-Meier survival curves; time series (trends, autocorrelation, decomposition, seasonality and forecasting); model estimates and inference (forest plots, model comparison, frequentist and Bayesian estimates, predicted values, interactions, random effects and optimiser checks); diagnostics and classification (residual panels, binned residuals, influence, quantile-quantile, receiver operating characteristic (ROC) curves, calibration, threshold tuning and confusion matrices); uncertainty and power; and reporting helpers (a shared theme, colourblind-aware palettes, plot composition and saving). Every plotting function returns a 'ggplot2' object (or a 'patchwork' object for composite panels), heavier modelling back-ends are optional, and the package ships with reproducibly simulated datasets so that every example and vignette runs without further setup. Software Depends: R (>= 4.1.0) Imports: ggplot2 (>= 3.5.0), stringr, scales, patchwork (>= 1.3.0), rlang, stats, grDevices, utils, Rdpack Suggests: lme4, lmerTest, broom, simr, knitr, rmarkdown, survival, ggdist, posterior, boot, cluster, colorspace, testthat (>= 3.0.0), withr Pablo Bernabeu <pcbernabeu@gmail.com> Comprehensive R Archive Network (CRAN) Pablo Bernabeu [aut, cre] (ORCID: <https://orcid.org/0000-0003-1083-2460>) MIT + file LICENSE (https://CRAN.R-project.org/package=depictr/LICENSE) 2026-09-01 application/tgz https://CRAN.R-project.org/package=depictr doi:10.32614/CRAN.package.depictr en-GB