ssaBSS
Stationary Subspace Analysis
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>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.2 |
rolling linux/jammy R-4.5 | ssaBSS_0.1.2.tar.gz |
89.9 KiB |
0.1.2 |
rolling linux/noble R-4.5 | ssaBSS_0.1.2.tar.gz |
89.7 KiB |
0.1.2 |
rolling source/ R- | ssaBSS_0.1.2.tar.gz |
10.3 KiB |
0.1.2 |
latest linux/jammy R-4.5 | ssaBSS_0.1.2.tar.gz |
89.9 KiB |
0.1.2 |
latest linux/noble R-4.5 | ssaBSS_0.1.2.tar.gz |
89.7 KiB |
0.1.2 |
latest source/ R- | ssaBSS_0.1.2.tar.gz |
10.3 KiB |
0.1.2 |
2026-04-26 source/ R- | ssaBSS_0.1.2.tar.gz |
10.3 KiB |
0.1.2 |
2026-04-23 source/ R- | ssaBSS_0.1.2.tar.gz |
10.3 KiB |
0.1.2 |
2026-04-09 windows/windows R-4.5 | ssaBSS_0.1.2.zip |
92.1 KiB |
0.1.1 |
2025-04-20 source/ R- | ssaBSS_0.1.1.tar.gz |
10.3 KiB |