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gerbil

0.1.9Package record

Generalized Efficient Regression-Based Imputation with Latent Processes

0packages depend
2.9Kdownloads / year
26.6%test coverage
11/13flavors OK

Overview

About

Implements a new multiple imputation method that draws imputations from a latent joint multivariate normal model which underpins generally structured data. This model is constructed using a sequence of flexible conditional linear models that enables the resulting procedure to be efficiently implemented on high dimensional datasets in practice. See Robbins (2021) arXiv:2008.02243.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Michael Robbins <mrobbins@rand.org>’

The Description field contains
  Robbins (2021) <arXiv:2008.02243>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

CRAN check page ↗

Slowest check: 2.2 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-06-09
  • ERROR11 OK, 1 NOTE, 1 ERROR2026-06-08
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1.9
READMEYes · 161 wordsVignettesYes · 1 · staticNEWSYes · 67% structured · does not mention 0.1.9Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
15
Examples that run
17%1 run in a plain check · 5 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
99%
Return-value docs
100%
Help pages citing references
7%
Vignettes (1)

Downloads

2.9K
CRAN downloads in the past year
Rank #12,465 · ~8/day · ~239/mo
Daily download trend is not available in this view yet.
31730 days
88890 days
2.9K1 year
Compare downloads with other packages →
Also on92 r2u4 autocran42 c2d4u

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing gerbil adds 54 packages (36 with compiled code, 39 MB of source tarballs). Heaviest: stringi 11 MB, data.table 5.7 MB, DescTools 2.6 MB.

Depends (1)
R >= 2.10
Imports (13)
baseDescToolsgraphicsgrDeviceslatticeMASSmvtnormopenxlsxparallelpbapplystatstruncnormutils
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 0.1.5 (2021)
Contributor
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • unarchivedReturned to CRAN
    2023-01-12
  • 0.1.9Latest
    record
    2023-01-12 · current release · diff ↗
  • archivedRemoved from CRAN
    2022-10-15
    issues were not corrected in time AND policy violation, spamming a member of the CRAN team
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.5
    record
    2021-03-23
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-03-23
Total releases
2 / 5 yrs
License
GPL-2 OSI
Minimum R
≥ 2.10
Bundled data
564 KB / 3 files
Download size
927 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("gerbil")
Robbins, M., Griswold, M., & Nascimento de Lima, P. (2023). gerbil: Generalized Efficient Regression-Based Imputation with Latent Processes (Version 0.1.9) [Computer software]. https://doi.org/10.32614/CRAN.package.gerbil

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for gerbil version 0.1.9 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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