Package: ggmice 0.1.0.9000
Hanne Oberman
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.
Authors:
ggmice_0.1.0.9000.tar.gz
ggmice_0.1.0.9000.zip(r-4.5)ggmice_0.1.0.9000.zip(r-4.4)ggmice_0.1.0.9000.zip(r-4.3)
ggmice_0.1.0.9000.tgz(r-4.4-any)ggmice_0.1.0.9000.tgz(r-4.3-any)
ggmice_0.1.0.9000.tar.gz(r-4.5-noble)ggmice_0.1.0.9000.tar.gz(r-4.4-noble)
ggmice_0.1.0.9000.tgz(r-4.4-emscripten)ggmice_0.1.0.9000.tgz(r-4.3-emscripten)
ggmice.pdf |ggmice.html✨
ggmice/json (API)
NEWS
| # Install 'ggmice' in R: |
| install.packages('ggmice', repos = c('https://amices.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/amices/ggmice/issues
Last updated 18 hours agofrom:41222e3b3b
Exports:%>%bwplotdensityplotggmiceplot_corrplot_fluxplot_patternplot_predplot_tracestripplotxyplot
Dependencies:backportsbitbit64bootbroomclicliprcodetoolscolorspacecpp11crayondplyrfansifarverforcatsforeachgenericsggplot2glmnetgluegtablehavenhmsisobanditeratorsjomolabelinglatticelifecyclelme4magrittrMASSMatrixmgcvmiceminqamitmlmunsellnlmenloptrnnetnumDerivordinalpanpillarpkgconfigprettyunitsprogresspurrrR6RColorBrewerRcppRcppEigenreadrrlangrpartscalesshapestringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsviridisLitevroomwithr
