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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 "dbreg" in publications use:'
type: software
license: MIT
title: 'dbreg: Fast Regressions on Database Backends'
version: 0.0.3.99
doi: 10.32614/CRAN.package.dbreg
abstract: Leverages database backends to run regressions on very large datasets, which
  may not fit into R's memory. Various acceleration strategies---e.g., Wong et al.
  (2021) <https://doi.org/10.48550/arXiv.2102.11297> and Arkhangelsky & Imbens (2024)
  <https://doi.org/10.1093/restud/rdad089>---allow for highly efficient computation,
  while robust standard errors are computed from sufficient statistics.
authors:
- family-names: McDermott
  given-names: Grant
  email: contact@grantmcdermott.com
  orcid: https://orcid.org/0000-0001-7883-8573
- family-names: Brand
  given-names: James
  email: jamesbrandecon@gmail.com
  orcid: https://orcid.org/0000-0002-1663-5583
repository: https://grantmcdermott.r-universe.dev
repository-code: https://github.com/grantmcdermott/dbreg
commit: 26ab3226aebb324a9f9d6943fafb6366d21e2042
url: https://grantmcdermott.com/dbreg/
date-released: '2026-03-16'
contact:
- family-names: McDermott
  given-names: Grant
  email: contact@grantmcdermott.com
  orcid: https://orcid.org/0000-0001-7883-8573