crossfit: A Graph-Based Cross-Fitting Engine in R
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.
| Version: | 0.1.3 |
| Depends: | R (≥ 4.1.0) |
| Imports: | stats, utils |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-03-04 |
| DOI: | 10.32614/CRAN.package.crossfit |
| Author: | Etienne Peyrot 
[aut, cre] |
| Maintainer: | Etienne Peyrot <etienne.peyrot at inserm.fr> |
| BugReports: | https://github.com/EtiennePeyrot/crossfit-R/issues |
| License: | GPL-3 |
| URL: | https://github.com/EtiennePeyrot/crossfit-R |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | crossfit results |
Documentation:
| Reference manual: | crossfit.html , crossfit.pdf |
| Vignettes: |
Introduction to crossfit (source, R code) |
Downloads:
| Package source: | crossfit_0.1.3.tar.gz |
| Windows binaries: | r-release: crossfit_0.1.3.zip, r-oldrel: crossfit_0.1.3.zip |
| macOS binaries: | r-release (arm64): crossfit_0.1.3.tgz, r-oldrel (arm64): crossfit_0.1.3.tgz, r-release (x86_64): crossfit_0.1.3.tgz, r-oldrel (x86_64): crossfit_0.1.3.tgz |
| Old sources: | crossfit archive |
Linking:
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