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: 0.0.1
Imports: dplyr, ggplot2, magrittr, mice, purrr, rlang, stats, stringr, tidyr, utils
Suggests: covr, knitr, plotly, rmarkdown, testthat (≥ 3.0.0)
Published: 2022-03-17
Author: Hanne Oberman ORCID iD [aut, cre]
Maintainer: Hanne Oberman <h.i.oberman at>
License: GPL (≥ 3)
Copyright: person("ggmice authors", role = "cph"), person("Utrecht University", role = "fnd"), person("University Medical Centre Utrecht", role = "fnd")
NeedsCompilation: no
Materials: README NEWS
CRAN checks: ggmice results


Reference manual: ggmice.pdf
Vignettes: ggmice


Package source: ggmice_0.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ggmice_0.0.1.tgz, r-oldrel (arm64): ggmice_0.0.1.tgz, r-release (x86_64): ggmice_0.0.1.tgz, r-oldrel (x86_64): ggmice_0.0.1.tgz


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