R Observatory: Metrics for autotab version 1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

autotab

1.1Package record

Variational Autoencoders for Heterogeneous Tabular Data

0packages depend

4.2Kdownloads / year

8.3%test coverage

13/13flavors OK

Overview

About

Maintained by Sarah MilliganCRAN page ↗GitHub ↗Issues ↗

Build and train a variational autoencoder (VAE) for mixed-type tabular data (continuous, binary, categorical). Models are implemented using 'TensorFlow' and 'Keras' via the 'reticulate' interface, enabling reproducible VAE training for heterogeneous tabular datasets.

Install

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

install.packages("autotab", 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("SarahMilligan-hub/AutoTab")

Development version from SarahMilligan-hub/AutoTab. 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-autotab

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-autotab

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-autotab

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: 1.8 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09

Show 2 earlier changesHide 2 earlier changes

ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1

READMEYes · 603 wordsVignettesYes · 1 · staticNEWSNoCitation fileNo

Help pages: 17 (2 internal)
Examples that run: 38%5 run in a plain check · 7 only when donttest examples are enabled (R CMD check --as-cran) · 1 never run
Exported functions with examples: 100%
Documented parameters: 97%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (1)

autotab-intro HTML

How these are measured

Downloads

4.2K

CRAN downloads in the past year

Rank #10,811 · ~12/day · ~350/mo

Releases R versions

Daily download trend is not available in this view yet.

31230 days

96890 days

4.2K1 year

Compare downloads with other packages →

Also on133 r2u18 autocran

How downloads are counted

Repository

sarahmilligan-hub/autotab ↗Account: SarahMilligan-hub

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2026-08-10

Responsiveness

not measured

How these are measured

PracticesBeta

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

Checks run against github.com/sarahmilligan-hub/autotab on 2026-10-21.

Continuous integration (2)

GitHub ActionsR CMD check workflow

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

Docs source (3)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-08-10

Reproducibility and dev environment (1)

data-raw/

CRAN release process (1)

cran-comments.md

Show all practicesHide 1 practice

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Installing autotab adds 31 packages (17 with compiled code, 14 MB of source tarballs). Heaviest: keras 3.4 MB, tfruns 1.9 MB, Rcpp 1.8 MB.

Depends (1)

R >= 4.1

Imports (5)

keras magrittr R6 reticulate tensorflow

LinkingTo (0)

none

Suggests (5)

dplyr caret knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (1)

Sarah Milligan

Author, Maintainer since 0.1.1 (2025)

Releases (6)

Pick two releases to compare their code metrics.

1.1Latest
record
2026-07-30 · current release · diff ↗ ·
removed 1 export
get_feat_dist

added 1 export
install_autotab_env
1.0.1
record
2026-05-21 · diff ↗
R
R 4.6.0 released · 2026-04-24
1.0
record
2026-03-25 · diff ↗
0.1.3
record
2026-02-09 · diff ↗
0.1.2
record
2026-02-06 · diff ↗
0.1.1
record
2025-11-24
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-11-24
Total releases: 6 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1
Bundled data: 388 KB / 1 file
Download size: 488 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("autotab")

Format

Milligan, S. (2026). autotab: Variational Autoencoders for Heterogeneous Tabular Data (Version 1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.autotab

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 autotab version 1.1 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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