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mlmi

1.1.3

Maximum Likelihood Multiple Imputation

0packages depend
3.4Kdownloads / year
92.3%test coverage
13/13checks pass

Overview

About
Maintained by Jonathan BartlettFirst published 2019-08-025 releasesCRAN page ↗

Implements proper and so-called Maximum Likelihood Multiple Imputation as described by von Hippel and Bartlett (2021) doi:10.1214/20-STS793. A number of different imputation methods are available, by utilising the 'norm', 'cat' and 'mix' packages. Inferences can be performed either using Rubin's rules (for proper imputation), or a modified version for maximum likelihood imputation. For maximum likelihood imputations a likelihood score based approach based on theory by Wang and Robins (1998) doi:10.1093/biomet/85.4.935 is also available.

Install

Health

CRAN checks
13OK
Slowest check: 1.9 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 1.04
92.3%
Coverage · measured lines
100%
Documentation · exports
9
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 96 wordsVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
88%

Downloads

3.4K
CRAN downloads in the past year
Rank #13,464 · ~9/day · ~285/mo
Daily download trend is not available in this view yet.
19530 days
76090 days
3.4K1 year
Compare downloads with other packages →
Also on136 r2u12 autocran63 c2d4u

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
Imports (9)
MASSgslnormcatmixMatrixstatsutilsnlme
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.3Latest
    2025-12-03 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1.2
    2023-06-02 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 1.1.1
    2021-11-20 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.1.0
    2021-04-26 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0.0
    2019-08-02
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-08-02
Total releases
5 / 7 yrs
License
GPL-3 OSI
Minimum R
≥ 2.10
Bundled data
16 KB / 1 file
Download size
39 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("mlmi")
Bartlett, J. (2025). mlmi: Maximum Likelihood Multiple Imputation (Version 1.1.3) [Computer software]. https://doi.org/10.32614/CRAN.package.mlmi

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 mlmi version 1.1.3 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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