ggmice: Visualizations for 'mice' with 'ggplot2'

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: 0.1.0
Imports: cli, dplyr, ggplot2, magrittr, mice, purrr, rlang, stats, stringr, tidyr, tidyselect, utils
Suggests: covr, knitr, patchwork, plotly, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-08-07
DOI: 10.32614/CRAN.package.ggmice
Author: Hanne Oberman ORCID iD [aut, cre], Utrecht University [fnd], University Medical Centre Utrecht [fnd], Thom Volker ORCID iD [ctb], Gerko Vink ORCID iD [ctb], Pepijn Vink ORCID iD [ctb], Jamie Wallis ORCID iD [ctb]
Maintainer: Hanne Oberman <h.i.oberman at>
License: GPL (≥ 3)
Copyright: 'ggmice' authors
NeedsCompilation: no
Materials: README NEWS
In views: MissingData
CRAN checks: ggmice results


Reference manual: ggmice.pdf
Vignettes: ggmice


Package source: ggmice_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ggmice_0.1.0.tgz, r-oldrel (arm64): ggmice_0.1.0.tgz, r-release (x86_64): ggmice_0.1.0.tgz, r-oldrel (x86_64): ggmice_0.1.0.tgz
Old sources: ggmice archive


Please use the canonical form to link to this page.