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 uu.nl>
BugReports: https://github.com/amices/ggmice
License: GPL (≥ 3)
Copyright: person("ggmice authors", role = "cph"), person("Utrecht University", role = "fnd"), person("University Medical Centre Utrecht", role = "fnd")
URL: https://github.com/amices/ggmice, https://amices.org/, https://amices.org/ggmice/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: ggmice results

Documentation:

Reference manual: ggmice.pdf
Vignettes: ggmice
old_friends

Downloads:

Package source: ggmice_0.0.1.tar.gz
Windows binaries: r-devel: ggmice_0.0.1.zip, r-release: ggmice_0.0.1.zip, r-oldrel: ggmice_0.0.1.zip
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

Linking:

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