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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "autotab" in publications use:'
type: software
license: MIT
title: 'autotab: Variational Autoencoders for Heterogeneous Tabular Data'
version: 1.0.1
doi: 10.32614/CRAN.package.autotab
abstract: 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.
authors:
- family-names: Milligan
  given-names: Sarah
  email: slm1999@bu.edu
repository: https://sarahmilligan-hub.r-universe.dev
repository-code: https://github.com/SarahMilligan-hub/AutoTab
commit: 79b903e622a2aaf7979b9f74a3778619df28de16
url: https://github.com/SarahMilligan-hub/AutoTab
date-released: '2026-05-21'
contact:
- family-names: Milligan
  given-names: Sarah
  email: slm1999@bu.edu