R Observatory: Metrics for rMIDAS version 1.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

rMIDAS needs mltools, which CRAN will archive unless its check problems are fixed by Nov 11.

rMIDAS

1.0.1Package record

Multiple Imputation with Denoising Autoencoders

0packages depend

4.7Kdownloads / year

21.4%test coverage

13/13flavors OK

Overview

About

Maintained by Thomas RobinsonCRAN page ↗GitHub ↗Issues ↗

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.

Changes in 1.0.1

Marked the package as deprecated and directed users to rMIDAS2
Added a migration vignette and startup/package documentation notices to support existing users
Limited test-time thread usage to avoid CRAN check CPU-time inflation on Debian

From NEWS.md in the release

Install

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

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

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

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("MIDASverse/rMIDAS")

Development version from MIDASverse/rMIDAS. Installs pak first if it is not already available.

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-rmidas

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-rMIDAS

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-rMIDAS

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: 2.6 min · r-release-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.1

READMEYes · 679 wordsVignettesYes · 4 · dynamicNEWSYes · 100% structured · mentions 1.0.1Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Cites a JSS article

Help pages: 21includes a package overview page
Examples that run: 70%7 run in a plain check · 3 never run
Exported functions with examples: 71%
Documented parameters: 95%
Return-value docs: 93%
Help pages citing references: 19% with a bibliography file

Vignettes (4)

Imputing missing data using rMIDAS HTML
Migrating from rMIDAS to rMIDAS2 HTML
Running rMIDAS on a server instance HTML
Using custom Python versions HTML

How these are measured

Downloads

4.7K

CRAN downloads in the past year

Rank #9,504 · ~13/day · ~394/mo

Releases R versions

Daily download trend is not available in this view yet.

30930 days

1K90 days

4.7K1 year

Compare downloads with other packages →

Also on98 r2u5 autocran81 c2d4u

How downloads are counted

Repository

midasverse/rmidas ↗Organization: MIDASverse

37Stars

5Forks

13Open issues

1Open PRs

6Releases

162Commits

6Commit identities

imputation-methodstensorflowreticulateneural-networkdeep-learningr

162 commits · Last activity 2026-03-13

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 30
Median days to close, 50 most recently updated closed PRs: 0

PRs over time

2026-07-14 · 02026-08-20 · 1

How these are measured

PracticesBeta

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

Checks run against github.com/midasverse/rmidas on 2026-10-22.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows

Docs source (1)

README.Rmd

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Installing rMIDAS adds 14 packages (9 with compiled code, 13 MB of source tarballs). Heaviest: data.table 5.7 MB, Rcpp 1.8 MB, reticulate 1.6 MB.

Depends (4)

R >= 3.6.0data.table mltools reticulate

Imports (2)

rappdirs Rdpack

LinkingTo (0)

none

Suggests (3)

testthat knitr rmarkdown

Enhances (0)

none

Dependencies facing archival

CRAN will archive these unless their check problems are fixed by the date shown. This package needs each one to install.

mltoolsfix by Nov 11

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (4)

Thomas Robinson

Ranjit Lall

Author, Copyright holder

Elviss Dvinskis

Contributor · added in 0.5.0

Alex Stenlake

Contributor, Copyright holder

Releases (9)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.0.1Latest
record
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
record
2023-10-11 · diff ↗
0.5.0
record
2023-08-23 · diff ↗ ·
added 2 exports
delete_rMIDAS_env, reset_rMIDAS_env
0.4.2
record
2023-06-14 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.4.1
record
2022-06-20 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.4.0
record
2022-02-10 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.3.0
record
2021-01-30 · diff ↗
0.2.0
record
2020-11-02 · diff ↗ ·
added 2 exports
add_missingness, midas_setup
0.1.0
record
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: 131 KB

Appears in task views

Missing Data

Cite

Cite this package

Run in R for the authors' entry:

citation("rMIDAS")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.18637/jss.v107.i09.

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 rMIDAS version 1.0.1 [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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