Bayesian Reconciliation in the 'fable' Framework
Overview
Implements the 'bayesRecon' probabilistic reconciliation methods within the 'fable' framework for hierarchical time series forecasting. Bayesian reconciliation (bayesRecon) methods are accessed via the 'reconcile' verb, following 'fable' conventions. For methodological background, see Corani et al. (2021) doi:10.1007/978-3-030-67664-3_13, Zambon et al. (2024a) doi:10.1007/s11222-023-10343-y, Zambon et al. (2024b) https://proceedings.mlr.press/v244/zambon24a.html, and Carrara et al. (2026) doi:10.1016/j.ijforecast.2026.07.003.
- Updated dependency from
fable.intermittent.
From NEWS.md in the release
Install
Health
- OK13 OK2026-09-17
- ERROR12 OK, 1 ERROR2026-09-08
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK7 OK2026-05-29
Documentation
- Help pages
- 8 (5 internal)
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 38%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- 53
- Median days to close, 50 most recently updated closed PRs
- 0
Releases over time
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6 development-tooling and community-health practices detected across 5 families in the upstream repository
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Package metadata
- First published
- 2026-05-28
- Total releases
- 3 / 1 yrs
- License
- LGPL (>= 3) OSI
- Minimum R
- ≥ 4.1
- Download size
- 2.3 MB
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