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Fast masked KNN imputation for tabular data with support for single and multiple imputation.
| Version: | 1.0.0 |
| Imports: | data.table, Rcpp, RcppParallel, stats |
| LinkingTo: | Rcpp, RcppParallel |
| Suggests: | bench, ggplot2, knitr, rmarkdown, mimar, missForest, missRanger, VIM, testthat (≥ 3.0.0), roxygen2 |
| Published: | 2026-07-24 |
| DOI: | 10.32614/CRAN.package.missknn (may not be active yet) |
| Author: | Imad El Badisy [aut, cre] |
| Maintainer: | Imad El Badisy <elbadisyimad at gmail.com> |
| BugReports: | https://github.com/ielbadisy/missknn/issues |
| License: | MIT + file LICENSE |
| URL: | https://CRAN.R-project.org/package=missknn |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Materials: | README |
| CRAN checks: | missknn results |
| Reference manual: | missknn.html , missknn.pdf |
| Vignettes: |
Getting started with missknn (source, R code) |
| Package source: | missknn_1.0.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): missknn_1.0.0.tgz, r-oldrel (arm64): missknn_1.0.0.tgz, r-release (x86_64): missknn_1.0.0.tgz, r-oldrel (x86_64): missknn_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=missknn 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.