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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 "crossfit" in publications use:'
type: software
license: GPL-3.0-only
title: 'crossfit: A Graph-Based Cross-Fitting Engine in R'
version: 0.1.3
doi: 10.32614/CRAN.package.crossfit
abstract: Provides a general cross-fitting engine for semiparametric estimation (e.g.,
  double/debiased machine learning). Supports user-defined target functionals and
  directed acyclic graphs of nuisance learners with per-node training fold widths,
  target-specific evaluation windows, and fold-allocation modes ("overlap", "disjoint",
  "independence"). Returns either numeric estimates (mode = "estimate") or cross-fitted
  prediction functions (mode = "predict"), with configurable aggregation over panels
  and repetitions, reuse-aware caching, and failure isolation, making it well-suited
  for simulation studies and large benchmarks.
authors:
- family-names: Peyrot
  given-names: Etienne
  email: etienne.peyrot@inserm.fr
  orcid: https://orcid.org/0009-0006-8520-6201
repository: https://etiennepeyrot.r-universe.dev
repository-code: https://github.com/EtiennePeyrot/crossfit-R
commit: 604032a787c9742873a34cd390b699d8313ba76a
url: https://github.com/EtiennePeyrot/crossfit-R
date-released: '2026-03-04'
contact:
- family-names: Peyrot
  given-names: Etienne
  email: etienne.peyrot@inserm.fr
  orcid: https://orcid.org/0009-0006-8520-6201