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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 "einops" in publications use:'
type: software
license: MIT
title: 'einops: Flexible, Powerful, and Readable Tensor Operations'
version: 0.2.1
identifiers:
- type: doi
  value: 10.32614/CRAN.package.einops
abstract: Perform tensor operations using a concise yet expressive syntax inspired
  by the Python library of the same name. Reshape, rearrange, and combine multidimensional
  arrays for scientific computing, machine learning, and data analysis. Einops simplifies
  complex manipulations, making code more maintainable and intuitive. The original
  implementation is demonstrated in Rogozhnikov (2022) <https://openreview.net/forum?id=oapKSVM2bcj>.
authors:
- family-names: Yang
  given-names: Qile
  email: qile.yang@berkeley.edu
  orcid: https://orcid.org/0009-0005-0148-2499
preferred-citation:
  type: generic
  title: Einops for R
  authors:
  - family-names: Yang
    given-names: Qile
    orcid: https://orcid.org/0009-0005-0148-2499
    email: qile.yang@berkeley.edu
  year: '2025'
  url: https://qile0317.github.io/einops/
repository: https://qile0317.r-universe.dev
repository-code: https://github.com/Qile0317/einops
commit: 50fc8b09f5b19ea9e5cb0927d78d637d9570772d
url: https://qile0317.github.io/einops/
date-released: '2025-08-29'
contact:
- family-names: Yang
  given-names: Qile
  email: qile.yang@berkeley.edu
  orcid: https://orcid.org/0009-0005-0148-2499
references:
- type: conference-paper
  title: 'Einops: Clear and Reliable Tensor Manipulations with Einstein-like Notation'
  authors:
  - family-names: Rogozhnikov
    given-names: Alex
  collection-title: International Conference on Learning Representations
  collection-type: proceedings
  year: '2022'
  url: https://openreview.net/forum?id=oapKSVM2bcj
  conference:
    name: International Conference on Learning Representations