High-Performance Open-Source Archive
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 |
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