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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 "repsim" in publications use:'
type: software
license: MIT
title: 'repsim: Measures of Representational Similarity Across Models'
version: 0.1.0
doi: 10.32614/CRAN.package.repsim
abstract: Provides a collection of methods for quantifying representational similarity
  between learned features or multivariate data. The package offers an efficient 'C++'
  backend, designed for applications in machine learning, computational neuroscience,
  and multivariate statistics. See Klabunde et al. (2025) <https://doi.org/10.1145/3728458>
  for a comprehensive overview of the topic.
authors:
- family-names: You
  given-names: Kisung
  email: kisung.you@outlook.com
repository: https://kisungyou.r-universe.dev
commit: f5686c910720f92778bb5121d77fd9eac499db9a
date-released: '2025-11-07'
contact:
- family-names: You
  given-names: Kisung
  email: kisung.you@outlook.com