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ggmice  

Visualizations for 'mice' with 'ggplot2'
View on CRAN: Click here


Download and install ggmice package within the R console
Install from CRAN:
install.packages("ggmice")

Install from Github:
library("remotes")
install_github("cran/ggmice")

Install by package version:
library("remotes")
install_version("ggmice", "0.1.0")



Attach the package and use:
library("ggmice")
Maintained by
Hanne Oberman
[Scholar Profile | Author Map]
First Published: 2022-03-17
Latest Update: 2023-08-07
Description:
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.
How to cite:
Hanne Oberman (2022). ggmice: Visualizations for 'mice' with 'ggplot2'. R package version 0.1.0, https://cran.r-project.org/web/packages/ggmice. Accessed 05 Apr. 2025.
Previous versions and publish date:
0.0.1 (2022-03-17 09:50)
Other packages that cited ggmice R package
View ggmice citation profile
Other R packages that ggmice depends, imports, suggests or enhances
Complete documentation for ggmice
Functions, R codes and Examples using the ggmice R package
Some associated functions: bwplot . densityplot . ggmice . pipe . plot_corr . plot_flux . plot_pattern . plot_pred . plot_trace . stripplot . theme_mice . theme_minimice . xyplot . 
Some associated R codes: ggmice.R . old_friends.R . plot_corr.R . plot_flux.R . plot_pattern.R . plot_pred.R . plot_trace.R . theme.R . utils.R .  Full ggmice package functions and examples
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