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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 "scR" in publications use:'
type: software
license: MIT
title: 'scR: Empirical Sample Complexity Bounds'
version: 0.7.0
doi: 10.32614/CRAN.package.scR
abstract: Provides tools for estimating empirical sample complexity bounds for supervised
  learning tasks. The package supports simulation-based estimates of generalization
  curves, parametric extrapolation of empirical sample complexity bounds, theoretical
  bounds based on Vapnik-Chervonenkis dimension, and optional monotone Gaussian process
  extrapolation for users who install the external 'cmdstanr' workflow. For more details,
  see Carter and Choi (2024) <https://doi.org/10.31219/osf.io/evrcj>.
authors:
- family-names: Carter
  given-names: Perry
  email: pjc504@nyu.edu
  orcid: https://orcid.org/0000-0002-4684-6533
- family-names: Choi
  given-names: Dahyun
  email: dahyunc@princeton.edu
  orcid: https://orcid.org/0000-0002-2628-1467
repository: https://pjesscarter.r-universe.dev
repository-code: https://github.com/pjesscarter/scR
commit: 8fe5769fd130e7de2530c712a8a57240411cb384
url: https://github.com/pjesscarter/scR
date-released: '2026-06-23'
contact:
- family-names: Carter
  given-names: Perry
  email: pjc504@nyu.edu
  orcid: https://orcid.org/0000-0002-4684-6533