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rMIDAS

1.0.1

Multiple Imputation with Denoising Autoencoders

0packages depend
4.6Kdownloads / year
21.4%test coverage
13/13checks pass

Overview

About
Maintained by Thomas RobinsonFirst published 2020-09-299 releasesCRAN page ↗GitHub ↗

A tool for multiply imputing missing data using 'MIDAS', a deep learning method based on denoising autoencoder neural networks (see Lall and Robinson, 2022; doi:10.1017/pan.2020.49). This algorithm offers significant accuracy and efficiency advantages over other multiple imputation strategies, particularly when applied to large datasets with complex features. Alongside interfacing with 'Python' to run the core algorithm, this package contains functions for processing data before and after model training, running imputation model diagnostics, generating multiple completed datasets, and estimating regression models on these datasets. For more information see Lall and Robinson (2023) doi:10.18637/jss.v107.i09. This package is deprecated in favor of 'rMIDAS2'; it remains available for existing workflows but will receive only compatibility and documentation updates.

Install

Health

CRAN checks
13OK
Slowest check: 2.6 min · r-release-macos-x86_64
Code health
Yes
Tests · ratio 0.05
21.4%
Coverage · measured lines
100%
Documentation · exports
5
Dependencies · direct
Check history
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 679 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
90%
Documented parameters
95%
Return-value docs
93%
References docs
19%

Downloads

4.6K
CRAN downloads in the past year
Rank #6,747 · ~13/day · ~385/mo
Daily download trend is not available in this view yet.
31930 days
1.5K90 days
4.6K1 year
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Repository

Repository
37Stars
5Forks
13Open issues
0Open PRs
6Releases
162Commits
6Contributors
imputation-methodstensorflowreticulateneural-networkdeep-learningr
162 commits · Last activity 2026-03-13

Repository practices

Upstream repositoryBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/midasverse/rmidas on 2026-07-19.

Continuous integration (1)
GitHub Actions
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)
Depends (4)
Imports (2)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (2)
Author, Maintainer, Copyright holder
Author, Copyright holder
Contributors (2)
Contributor · added in 0.5.0
Contributor, Copyright holder
Copyright holders (3)
Author, Maintainer, Copyright holder
Author, Copyright holder
Contributor, Copyright holder
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.1Latest
    2026-03-13 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.0
    2023-10-11 · diff ↗
  • 0.5.0
    2023-08-23 · diff ↗
  • 0.4.2
    2023-06-14 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.4.1
    2022-06-20 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.4.0
    2022-02-10 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.3.0
    2021-01-30 · diff ↗
  • 0.2.0
    2020-11-02 · diff ↗
  • 0.1.0
    2020-09-29
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-09-29
Total releases
9 / 6 yrs
License
Apache License (>= 2.0)
Minimum R
≥ 3.6.0
Download size
192 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views
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