Stationary Subspace Analysis
Overview
Stationary subspace analysis (SSA) is a blind source separation (BSS) variant where stationary components are separated from non-stationary components. Several SSA methods for multivariate time series are provided here (Flumian et al. (2024) doi:10.1016/j.cam.2023.115379; Hara et al. (2010) doi:10.1007/978-3-642-17537-4_52) along with functions to simulate time series with time-varying variance and autocovariance (Patilea and Raissi(2014) doi:10.1080/01621459.2014.884504).
Install
Health
- OK13 OK2026-09-09
- ERROR12 OK, 1 ERROR2026-09-04
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
Show 5 earlier changesHide 5 earlier changes
- ERROR12 OK, 1 ERROR2026-06-08
- OK12 OK2026-04-25
- NOTE10 OK, 4 NOTE2026-04-08
- WARNING3 OK, 10 NOTE, 1 WARNING2026-04-03
- NOTE14 NOTE2026-03-10
Documentation
- Help pages
- 9includes a package overview page
- Examples that run
- 100%7 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 44%
Downloads
Dependencies
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.1.2Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.1.12022-12-01 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.12021-04-12
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-04-12
- Total releases
- 3 / 5 yrs
- License
- GPL (>= 2) OSI
- Download size
- 10 KB
Cite
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Run in R for the authors' preferred citation:
citation("ssaBSS")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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