FoRecoML
Forecast Reconciliation with Machine Learning
Nonlinear forecast reconciliation with machine learning in cross-sectional (Spiliotis et al. 2021 <doi:10.1016/j.asoc.2021.107756>), temporal, and cross-temporal (Rombouts et al. 2024 <doi:10.1016/j.ijforecast.2024.05.008>) frameworks.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | FoRecoML_1.0.0.tar.gz |
102.3 KiB |
1.0.0 |
rolling linux/noble R-4.5 | FoRecoML_1.0.0.tar.gz |
102.3 KiB |
1.0.0 |
rolling source/ R- | FoRecoML_1.0.0.tar.gz |
29.0 KiB |
1.0.0 |
latest linux/jammy R-4.5 | FoRecoML_1.0.0.tar.gz |
102.3 KiB |
1.0.0 |
latest linux/noble R-4.5 | FoRecoML_1.0.0.tar.gz |
102.3 KiB |
1.0.0 |
latest source/ R- | FoRecoML_1.0.0.tar.gz |
29.0 KiB |
1.0.0 |
2026-04-26 source/ R- | FoRecoML_1.0.0.tar.gz |
29.0 KiB |
1.0.0 |
2026-04-23 source/ R- | FoRecoML_1.0.0.tar.gz |
29.0 KiB |