CepReg
0.1.3A Cepstral Model for Covariate-Dependent Time Series
Overview
Modeling associations between covariates and power spectra of replicated time series using a cepstral-based semiparametric framework. Implements a fast two-stage estimation procedure via Whittle likelihood and multivariate regression.The methodology is based on Li and Dong (2025) doi:10.1080/10618600.2025.2473936.
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- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Code & Tests
- Cyclomatic complexity
- 2.0 median / 14 max
- Documented parameters
- 100%
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
12 12 exported
Complexity
3.5 avg / 14 max
Call network
12 nodes / 21 edges
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People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.3Latest
- 0.1.22025-09-20 · diff ↗
- 0.1.02025-09-10
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-09-10
- Total releases
- 3 / 1 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 10 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet