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.
Version: 0.1.1 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) Published: 2025-07-30 DOI: 10.32614/CRAN.package.ggmice Author: Hanne Oberman [aut, cre], Utrecht University [fnd], University Medical Centre Utrecht [fnd], Thom Volker [ctb], Gerko Vink [ctb], Pepijn Vink [ctb], Jamie Wallis [ctb], Kyle Lang [ctb] Maintainer: Hanne Oberman <h.i.oberman at uu.nl> BugReports: https://github.com/amices/ggmice/issues License: GPL (≥ 3) Copyright: 'ggmice' authors URL: https://amices.org/ggmice/ NeedsCompilation: no Materials: README, NEWS In views: MissingData CRAN checks: ggmice resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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