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gerbil

0.1.9

Generalized Efficient Regression-Based Imputation with Latent Processes

0packages depend
2.7Kdownloads / year
26.6%test coverage
11/13checks pass

Overview

About
Maintained by Michael RobbinsFirst published 2021-03-232 releasesCRAN page ↗

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
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 2.2 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.01
26.6%
Coverage · measured lines
100%
Documentation · exports
13
Dependencies · direct
Check history
  • NOTE2026-06-09
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    11 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 161 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
17%
Documented parameters
99%
Return-value docs
100%
References docs
7%

Downloads

2.7K
CRAN downloads in the past year
Rank #13,513 · ~7/day · ~223/mo
Daily download trend is not available in this view yet.
24330 days
76990 days
2.7K1 year
Compare downloads with other packages →
Also on129 r2u3 autocran18 c2d4u

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
Imports (13)
baseDescToolsgraphicsgrDeviceslatticeMASSmvtnormopenxlsxparallelpbapplystatstruncnormutils
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Contributors (2)
Contributor
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 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
  • 0.1.9Latest
    2023-01-12 · current release · diff ↗
  • unarchivedReturned to CRAN
    2023-01-12
  • 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
    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
Installed size
not tracked yet
With dependencies
not tracked yet
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 is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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