Package: ssaBSS
Type: Package
Title: Stationary Subspace Analysis
Version: 0.1.2
Date: 2026-03-30
Authors@R: 
    c(person(given = "Markus", family = "Matilainen", role = c("cre","aut"),
             email = "markus.matilainen@outlook.com",
             comment = c(ORCID = "0000-0002-5597-2670")),
	  person(given = "Lea", family = "Flumian", role = "aut"),
      person(given = "Klaus", family = "Nordhausen", role = c("aut"),
             comment = c(ORCID = "0000-0002-3758-8501")),
      person(given = "Sara", family = "Taskinen", role = "aut",
             comment = c(ORCID = "0000-0001-9470-7258")))
Maintainer: Markus Matilainen <markus.matilainen@outlook.com>
Depends: tsBSS (>= 1.0.1), JADE (>= 2.0-2), ICtest (>= 0.3-7), BSSprep,
        ggplot2
Imports: xts, zoo, ICS (>= 1.4-2)
Description: 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>).
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-04-02 18:50:27 UTC; manmat
Author: 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>)
Repository: CRAN
Date/Publication: 2026-04-02 19:30:02 UTC
Built: R 4.5.2; ; 2026-04-02 21:26:01 UTC; unix
