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# CITATION.cff 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 "rMIDAS" in publications use:'
type: software
license: Apache-2.0
title: 'rMIDAS: Multiple Imputation with Denoising Autoencoders'
version: 1.0.1
doi: 10.18637/jss.v107.i09
identifiers:
- type: doi
  value: 10.32614/CRAN.package.rMIDAS
- type: url
  value: https://github.com/MIDASverse/rMIDAS2
abstract: A tool for multiply imputing missing data using 'MIDAS', a deep learning
  method based on denoising autoencoder neural networks (see Lall and Robinson, 2022;
  <https://doi.org/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) <https://doi.org/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.
authors:
- family-names: Robinson
  given-names: Thomas
  email: ts.robinson1994@gmail.com
  orcid: https://orcid.org/0000-0001-7097-1599
- family-names: Lall
  given-names: Ranjit
  email: R.Lall@lse.ac.uk
  orcid: https://orcid.org/0000-0003-1455-3506
preferred-citation:
  type: article
  title: 'Efficient Multiple Imputation for Diverse Data in Python and R: MIDASpy
    and rMIDAS'
  authors:
  - family-names: Lall
    given-names: Ranjit
    email: ranjit.lall@politics.ox.ac.uk
    orcid: https://orcid.org/0000-0003-1455-3506
  - family-names: Robinson
    given-names: Thomas
    email: t.robinson7@lse.ac.uk
    orcid: https://orcid.org/0000-0001-7097-1599
  journal: Journal of Statistical Software
  year: '2023'
  volume: '107'
  issue: '9'
  doi: 10.18637/jss.v107.i09
  start: '1'
  end: '38'
repository: https://cranhaven.r-universe.dev
repository-code: https://github.com/MIDASverse/rMIDAS
commit: 9bc44acc9e89385e85e4359378b98d7356d804c4
url: https://CRAN.R-project.org/package=rMIDAS2
date-released: '2026-11-11'
contact:
- family-names: Robinson
  given-names: Thomas
  email: ts.robinson1994@gmail.com
  orcid: https://orcid.org/0000-0001-7097-1599