Stationary Subspace Analysis R package ssaBSS version 0.1.2 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>). Software Depends: tsBSS (>= 1.0.1), JADE (>= 2.0-2), ICtest (>= 0.3-7), BSSprep, ggplot2 Imports: xts, zoo, ICS (>= 1.4-2) Markus Matilainen <markus.matilainen@outlook.com> Comprehensive R Archive Network (CRAN) Markus Matilainen [cre, aut] (ORCID: <https://orcid.org/0000-0002-5597-2670>), Lea Flumian [aut], Klaus Nordhausen [aut] (ORCID: <https://orcid.org/0000-0002-3758-8501>), Sara Taskinen [aut] (ORCID: <https://orcid.org/0000-0001-9470-7258>) GPL (>= 2) 2026-04-02 application/tgz https://CRAN.R-project.org/package=ssaBSS doi:10.32614/CRAN.package.ssaBSS