Visualizations for 'mice' with 'ggplot2' R package ggmice version 0.1.1 CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData) Enhance a 'mice' imputation workflow with visualizations for incomplete and/or imputed data. The plotting functions produce 'ggplot' objects which may be easily manipulated or extended. Use 'ggmice' to inspect missing data, develop imputation models, evaluate algorithmic convergence, or compare observed versus imputed data. Software Imports: cli, dplyr, ggplot2, magrittr, mice, purrr, rlang, scales, stats, stringr, tidyr, tidyselect, utils Suggests: covr, knitr, lifecycle, patchwork, plotly, rmarkdown, testthat (>= 3.0.0) Hanne Oberman <h.i.oberman@uu.nl> Comprehensive R Archive Network (CRAN) Hanne Oberman [aut, cre] (ORCID: <https://orcid.org/0000-0003-3276-2141>), Utrecht University [fnd], University Medical Centre Utrecht [fnd], Thom Volker [ctb] (ORCID: <https://orcid.org/0000-0002-2408-7820>), Gerko Vink [ctb] (ORCID: <https://orcid.org/0000-0001-9767-1924>), Pepijn Vink [ctb] (ORCID: <https://orcid.org/0000-0001-6960-9904>), Jamie Wallis [ctb] (ORCID: <https://orcid.org/0000-0003-2765-3813>), Kyle Lang [ctb] (ORCID: <https://orcid.org/0000-0001-5340-7849>) GPL (>= 3) 2025-07-30 application/tgz https://CRAN.R-project.org/package=ggmice doi:10.32614/CRAN.package.ggmice