# ------------------------------------------------
# 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 "smak" in publications use:'
type: software
license: LGPL-3.0-only
title: 'smak: Scalable Model Averageing Kit'
version: 0.1.0
abstract: Supports frequentist model averaging on linear regression problems via the
  scalable method of Zhu et. al. (2022) <https://doi.org/10.1080/07350015.2022.2116442>.
  The scalable model averaging technique projects to singular vectors, performs one
  linear regression per singular vector, then combines the estimates to optimize either
  Mallows' criterion, or the jackknife estimate of error.
authors:
- family-names: Pav
  given-names: Steven E.
  email: shabbychef@gmail.com
  orcid: https://orcid.org/0000-0002-4197-6195
preferred-citation:
  type: manual
  title: 'smak: Scalable Model Averageing Kit'
  authors:
  - family-names: Pav
    given-names: Steven E.
    orcid: https://orcid.org/0000-0002-4197-6195
    email: shabbychef@gmail.com
  year: '2026'
  notes: R package version 0.1.0
  url: https://github.com/shabbychef/smak
repository: https://cran.r-universe.dev
repository-code: https://github.com/shabbychef/smak
commit: e24929b356d35e7787c6edf962f2eedf46b2a017
url: https://github.com/shabbychef/smak
date-released: '2026-10-13'
contact:
- family-names: Pav
  given-names: Steven E.
  email: shabbychef@gmail.com
  orcid: https://orcid.org/0000-0002-4197-6195