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Changelog

Source: NEWS.md

FoRecoML 1.1.1

  • Reworked the print() and summary() methods for rml_fit objects, which now return a more informative, structured overview of the fitted reconciliation (framework, machine-learning approach, problem dimensions, features, training sample size, combination matrix and trained models).
  • csrml(), terml() and ctrml() now validate their arguments more strictly and fail with informative error messages that state the expected value and report the one actually supplied.

FoRecoML 1.1.0

CRAN release: 2026-06-23

  • Every reconciliation function now returns an object of the new S3 class foreco, defined in FoReco. The objects are built through FoReco’s exported new_foreco_class() constructor and therefore integrate seamlessly with FoReco’s print(), summary(), plot() and components() methods.

  • Revised the title field of every file so that all man page titles consistently follow title case.

FoRecoML 1.0.0

CRAN release: 2026-04-21

  • Cross-sectional, temporal and cross-temporal forecast reconciliation with machine learning
  • Initial CRAN submission.