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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.3 |
rolling linux/jammy R-4.5 | crossfit_0.1.3.tar.gz |
147.3 KiB |
0.1.3 |
rolling linux/noble R-4.5 | crossfit_0.1.3.tar.gz |
147.5 KiB |
0.1.3 |
rolling source/ R- | crossfit_0.1.3.tar.gz |
55.5 KiB |
0.1.3 |
latest linux/jammy R-4.5 | crossfit_0.1.3.tar.gz |
147.3 KiB |
0.1.3 |
latest linux/noble R-4.5 | crossfit_0.1.3.tar.gz |
147.5 KiB |
0.1.3 |
latest source/ R- | crossfit_0.1.3.tar.gz |
55.5 KiB |
0.1.3 |
2026-04-26 source/ R- | crossfit_0.1.3.tar.gz |
55.5 KiB |
0.1.3 |
2026-04-23 source/ R- | crossfit_0.1.3.tar.gz |
55.5 KiB |
0.1.3 |
2026-04-09 windows/windows R-4.5 | crossfit_0.1.3.zip |
150.8 KiB |