wex
0.1.1Exact Observation Weights for the Kalman Filter and Smoother
Overview
Computes exact observation weights for the Kalman filter and smoother, following Koopman and Harvey (2003) <www.sciencedirect.com/science/article/pii/S0165188902000611>. The package provides tools for analyzing linear Gaussian state-space models, allowing users to quantify the contribution of individual observations to filtered and smoothed state estimates. These weights can be used for interpretation, decomposition, and diagnostic analysis in time series models, including applications such as dynamic factor models. See the README for examples.
Install
Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Code & Tests
- Cyclomatic complexity
- 19.0 median / 19 max
- Documented parameters
- 100%
Test coverage
Line coverage
–
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Tests / Examples
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Functions
1 1 exported
Complexity
19 avg / 19 max
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1 nodes / 0 edges
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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
- 0.1.1Latest
- 0.1.02026-03-10
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-05-09
- Total releases
- 2 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 19 KB / 1 file
- Download size
- 47 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet