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A computational toolbox designed for handling missing values in large datasets with the Multiple Imputation by Chained Equations (MICE) by using 'Apache Spark'. The methodology is described in Morvan et al. (2026) <doi:10.48550/arXiv.2601.21613>.
| Version: | 1.0.0 |
| Imports: | dplyr, tidyselect, rlang, sparklyr, data.table, Matrix |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2026-02-25 |
| DOI: | 10.32614/CRAN.package.bigMICE (may not be active yet) |
| Author: | Hugo Morvan [aut], Oleg Sysoev [aut, cre] |
| Maintainer: | Oleg Sysoev <oleg.sysoev at liu.se> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| SystemRequirements: | Spark: 3.x, or 4.x |
| CRAN checks: | bigMICE results |
| Reference manual: | bigMICE.html , bigMICE.pdf |
| Vignettes: |
bigMICE: multiple imputation for Big Data (source, R code) |
| Package source: | bigMICE_1.0.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): bigMICE_1.0.0.tgz, r-oldrel (arm64): bigMICE_1.0.0.tgz, r-release (x86_64): bigMICE_1.0.0.tgz, r-oldrel (x86_64): not available |
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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.