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Provides compact tools for missing-data analysis, including artificial amputation, chained single and multiple imputation, statistical and machine-learning-based imputation methods, diagnostic evaluation, and post-imputation pooling.
| Version: | 0.8.0 |
| Imports: | BART, e1071, functionals, gbm, ggplot2, glmnet, missMDA, naivebayes, ranger, rpart, stats, tibble, xgboost |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown, pkgload |
| Published: | 2026-06-09 |
| DOI: | 10.32614/CRAN.package.mimar |
| Author: | Imad EL BADISY [aut, cre] |
| Maintainer: | Imad EL BADISY <elbadisyimad at gmail.com> |
| BugReports: | https://github.com/ielbadisy/mimar/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/ielbadisy/mimar |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | mimar results |
| Reference manual: | mimar.html , mimar.pdf |
| Vignettes: |
Chained Multiple Imputation Workflows with mimar (source, R code) |
| Package source: | mimar_0.8.0.tar.gz |
| Windows binaries: | r-devel: mimar_0.8.0.zip, r-release: mimar_0.8.0.zip, r-oldrel: mimar_0.8.0.zip |
| macOS binaries: | r-release (arm64): mimar_0.8.0.tgz, r-oldrel (arm64): mimar_0.8.0.tgz, r-release (x86_64): mimar_0.8.0.tgz, r-oldrel (x86_64): mimar_0.8.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=mimar to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.