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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 "rfastloess" in publications use:'
type: software
license:
- Apache-2.0
- MIT
title: 'rfastloess: High-Performance LOESS Smoothing for R'
version: 0.9.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.rfastloess
abstract: Provides high-performance LOESS smoothing (Locally Estimated Scatterplot
  Smoothing) using a 'Rust' backend. Supports various weight functions, robustness
  iterations, streaming/online processing, cross-validation, and uncertainty quantification.
  Applicable to genomic data, time series, and general-purpose smoothing tasks.
authors:
- family-names: Valizadeh
  given-names: Amir
  email: thisisamirv@gmail.com
  orcid: https://orcid.org/0000-0001-5983-8527
preferred-citation:
  type: manual
  title: High-Performance LOESS Smoothing for R
  authors:
  - family-names: Valizadeh
    given-names: Amir
    email: thisisamirv@gmail.com
    orcid: https://orcid.org/0000-0001-5983-8527
  year: '2025'
  notes: R package version 0.99.10
  url: https://github.com/thisisamirv/loess-project
repository: https://thisisamirv.r-universe.dev
repository-code: https://github.com/thisisamirv/loess-project
commit: 8625a3236d39bbb0a2e84cb3d63d9214e6d8eabd
url: https://github.com/thisisamirv/loess-project
date-released: '2026-07-12'
contact:
- family-names: Valizadeh
  given-names: Amir
  email: thisisamirv@gmail.com
  orcid: https://orcid.org/0000-0001-5983-8527
references:
- type: article
  title: Robust Locally Weighted Regression and Smoothing Scatterplots
  authors:
  - family-names: Cleveland
    given-names: William S.
  journal: Journal of the American Statistical Association
  year: '1979'
  volume: '74'
  issue: '368'
  doi: 10.1080/01621459.1979.10481038
  start: 829-836