fable.bayesRecon
0.1.0Bayesian 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. (2025) doi:10.48550/arXiv.2506.19554.
Install
Health
- OK2026-05-297 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 38%
Downloads
Repository
Repository practices
4 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/dazzimonti/fable.bayesrecon on 2026-07-19.
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 1.0 median / 10 max
- Test cases
- 5 / 0.66 per code line
Test coverage
Line coverage
95%
Expression
93.8%
Tests / Examples
95.3% / 69% ex
Functions
15 4 exported
Complexity
2.5 avg / 10 max
Call network
15 nodes / 18 edges
Call graph
Open call graph →Lowest coverage
15 functions| Function | Cyclo | Coverage |
|---|---|---|
| forecast.lst_bayesRecon_BUIS | 5 | 85% |
| get_residuals | 4 | 92% |
| forecast.lst_bayesRecon_t | 10 | 95% |
| bayesRecon_BUIS exp | 1 | 100% |
| bayesRecon_MixCond exp | 1 | 100% |
| bayesRecon_TDcond exp | 1 | 100% |
People & History
1 release. R releases are shown for context.
- 0.1.0Latest2026-05-28 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-05-28
- Total releases
- 1 / 1 yrs
- License
- LGPL (>= 3) OSI
- Minimum R
- ≥ 4.1
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet