R Observatory: Metrics for cito version 1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

cito

1.1

Building and Training Neural Networks

2packages depend

26.1Kdownloads / year

0.2%test coverage

13/13checks pass

Overview

About

Maintained by Maximilian PichlerFirst published 2022-08-114 releasesCRAN page ↗GitHub ↗

The 'cito' package provides a user-friendly interface for training and interpreting deep neural networks (DNN). 'cito' simplifies the fitting of DNNs by supporting the familiar formula syntax, hyperparameter tuning under cross-validation, and helps to detect and handle convergence problems. DNNs can be trained on CPU, GPU and MacOS GPUs. In addition, 'cito' has many downstream functionalities such as various explainable AI (xAI) metrics (e.g. variable importance, partial dependence plots, accumulated local effect plots, and effect estimates) to interpret trained DNNs. 'cito' optionally provides confidence intervals (and p-values) for all xAI metrics and predictions. At the same time, 'cito' is computationally efficient because it is based on the deep learning framework 'torch'. The 'torch' package is native to R, so no Python installation or other API is required for this package.

Install

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

install.packages("cito", 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("citoverse/cito")

Development version from citoverse/cito. 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-cito

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-cito

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-cito

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

Health

CRAN checks

13OK

Slowest check: 2.6 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.09

0.2%

Coverage · measured lines

100%

Documentation · exports

11

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
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 553 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 0%
Documented parameters: 100%
Return-value docs: 73%
References docs: 2%

Downloads

26.1K

CRAN downloads in the past year

Rank #2,274 · ~72/day · ~2.2K/mo

Releases R versions

Daily download trend is not available in this view yet.

2.8K30 days

8.7K90 days

26.1K1 year

Compare downloads with other packages →

Also on200 r2u24 autocran

Repository

GitHub ↗ citoverse/cito

55Stars

7Forks

53Open issues

1Open PRs

1Releases

461Commits

4Contributors

machine-learningneural-networkrr-package

License GPL-3.0 · 461 commits · Last activity 2026-08-03 · 0% stars, 30d

Stars over time

2025-07-19 · 462026-07-09 · 55

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/citoverse/cito on 2026-08-16.

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

19 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5

Imports (11)

coro checkmate torch gridExtra parabar abind progress cli torchvision tibble lme4

LinkingTo (0)

none

Suggests (9)

spelling rmarkdown testthat plotly ggraph igraphstatsggplot2 knitr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

0indirect

biomod2 caretSDM

Code & Tests

People & History

People (4)

Maintainer (1)

Maximilian Pichler

Author, Maintainer

Authors (2)

Maximilian Pichler

Author, Maintainer

Christian Amesöder

Author

Contributors (2)

Florian Hartig

Contributor · added in 1.0.2

Armin Schenk

Contributor · added in 1.0.2

Package Timeline

4 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
1.1Latest
2024-03-18 · current release · diff ↗
1.0.2
2023-10-06 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.0.1
2023-03-13 · diff ↗
1.0.0
2022-08-11
removedRemoved from CRAN
2022-07-21
policy violation Downloads binary software (of the wrong architecture!) Back on CRAN on 2022-08-11
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2022-08-11
Total releases: 4 / 4 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.5
Download size: 4.2 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("cito")

Format

Pichler, M., Amesöder, C., Hartig, F., & Schenk, A. (2024). cito: Building and Training Neural Networks (Version 1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.cito

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 cito version 1.1 [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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