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depictr: A Unified Toolkit for Visualising Statistical Models and Data

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.

Version: 0.3.0
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
Published: 2026-09-01
DOI: 10.32614/CRAN.package.depictr (may not be active yet)
Author: Pablo Bernabeu ORCID iD [aut, cre]
Maintainer: Pablo Bernabeu <pcbernabeu at gmail.com>
BugReports: https://github.com/pablobernabeu/depictr/issues
License: MIT + file LICENSE
URL: https://pablobernabeu.github.io/depictr/, https://github.com/pablobernabeu/depictr
NeedsCompilation: no
Language: en-GB
Citation: depictr citation info
Materials: NEWS
CRAN checks: depictr results

Documentation:

Reference manual: depictr.html , depictr.pdf
Vignettes: Getting started with depictr (source, R code)
Diagnostics, classification and uncertainty (source, R code)
Exploring data (source, R code)
Visualising model estimates (source, R code)
Multivariate analysis and survival (source, R code)
Time series (source, R code)

Downloads:

Package source: depictr_0.3.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: depictr_0.3.0.zip
macOS binaries: r-release (arm64): depictr_0.3.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): depictr_0.3.0.tgz, r-oldrel (x86_64): depictr_0.3.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=depictr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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