R Observatory: Metrics for bigMICE version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

bigMICE

1.0.0Package record

Multiple Imputation of Big Data

0packages depend

2Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Oleg SysoevCRAN page ↗

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.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("bigMICE", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-bigmice

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-bigMICE

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-bigMICE

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.8 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.0

READMENoVignettesYes · 1 · staticNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 13
Examples that run: 0%13 never run
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 8%

Vignettes (1)

bigMICE: multiple imputation for Big Data HTML

How these are measured

Downloads

2K

CRAN downloads in the past year

Rank #19,387 · ~5/day · ~164/mo

Releases R versions

Daily download trend is not available in this view yet.

24630 days

68490 days

2K1 year

Compare downloads with other packages →

Also on56 r2u20 autocran

How downloads are counted

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Installing bigMICE adds 38 packages (22 with compiled code, 31 MB of source tarballs). Heaviest: stringi 11 MB, data.table 5.7 MB, sparklyr 2.5 MB.

Depends (0)

none

Imports (6)

dplyr tidyselect rlang sparklyr data.tableMatrix

LinkingTo (0)

none

Suggests (3)

testthat knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

Oleg Sysoev

Author, Maintainer since 1.0.0 (2026)

Hugo Morvan

Author

Releases (1)

R
R 4.6.0 released · 2026-04-24
1.0.0Latest
record
2026-02-25 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-02-25
Total releases: 1 / 1 yrs
License: GPL (>= 2) OSI
Download size: 130 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bigMICE")

Format

Sysoev, O., & Morvan, H. (2026). bigMICE: Multiple Imputation of Big Data (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.bigMICE

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for bigMICE version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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