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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 |
| 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: bigMICE_1.0.0.zip, r-release: bigMICE_1.0.0.zip, r-oldrel: bigMICE_1.0.0.zip |
| 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): bigMICE_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
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