R Observatory: Metrics for deepImp version 1.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

deepImp

1.1.0

Imputation with Deep Learning Methods

0packages depend

428downloads / year

57.1%test coverage

13/13checks pass

Overview

About

Maintained by Matthias TemplFirst published 2026-06-101 releasesCRAN page ↗

Imputation of mixed-type and compositional data with neural networks. The architecture (number and size of hidden layers, dropout, activation, optimiser) is user-configurable. See Templ (2021) doi:10.1007/978-3-030-71175-7.

Install

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

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

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

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-deepimp

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-deepImp

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-deepImp

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 4.8 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.63

57.1%

Coverage · measured lines

100%

Documentation · exports

7

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
OK2026-06-11
7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 90 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 92%
Return-value docs: 100%
References docs: 20%

Downloads

428

CRAN downloads in the past year

Rank #23,299 · ~1/day · ~36/mo

Releases R versions

Daily download trend is not available in this view yet.

10130 days

42890 days

4281 year

Compare downloads with other packages →

Also on16 r2u3 autocran

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1

Imports (7)

torch luz VIM robCompositionsstatsutilsgraphics

LinkingTo (0)

none

Suggests (4)

keras3 knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)

Maintainer (1)

Matthias Templ

Author, Maintainer

Authors (1)

Matthias Templ

Author, Maintainer

Package Timeline

1 release. R releases are shown for context.

1.1.0Latest
2026-06-10 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-06-10
Total releases: 1 / 1 yrs
License: GPL-2 OSI
Minimum R: ≥ 4.1
Bundled data: 3.6 KB / 1 file
Download size: 135 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("deepImp")

Format

Templ, M. (2026). deepImp: Imputation with Deep Learning Methods (Version 1.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.deepImp

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for deepImp version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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