Package: crossfit
Title: A Graph-Based Cross-Fitting Engine in R
Version: 0.1.3
Authors@R: 
    person("Etienne", "Peyrot",
           email = "etienne.peyrot@inserm.fr",
           role = c("aut", "cre"),
	   comment = c(ORCID = "0009-0006-8520-6201")
    )
Description: 
    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.
License: GPL-3
URL: https://github.com/EtiennePeyrot/crossfit-R
BugReports: https://github.com/EtiennePeyrot/crossfit-R/issues
Encoding: UTF-8
RoxygenNote: 7.3.3
Depends: R (>= 4.1.0)
Imports: stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-04 19:38:12 UTC; skoua
Author: Etienne Peyrot [aut, cre] (ORCID:
    <https://orcid.org/0009-0006-8520-6201>)
Maintainer: Etienne Peyrot <etienne.peyrot@inserm.fr>
Repository: CRAN
Date/Publication: 2026-03-04 20:00:02 UTC
Built: R 4.6.0; ; 2026-04-25 17:58:59 UTC; unix
