flap
0.2.0Forecast Linear Augmented Projection
Overview
The Forecast Linear Augmented Projection (flap) method reduces forecast variance by adjusting the forecasts of multivariate time series to be consistent with the forecasts of linear combinations (components) of the series by projecting all forecasts onto the space where the linear constraints are satisfied. The forecast variance can be reduced monotonically by including more components. For a given number of components, the flap method achieves maximum forecast variance reduction among linear projections.
Install
Health
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- NOTE2026-03-103 OK · 11 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 86%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Repository
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Releases over time
Repository practices
4 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/finyang/flap on 2026-07-19.
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 1.0 median / 3 max
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
9 1 exported
Complexity
1.3 avg / 3 max
Call network
9 nodes / 4 edges
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.2.0Latest
- RR 4.4.0 released · 2024-04-24
- 0.1.02024-02-28
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2024-02-28
- Total releases
- 2 / 2 yrs
- License
- GPL (>= 3) OSI
- Download size
- 4.4 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet