Package: ssaBSS
Type: Package
Title: Stationary Subspace Analysis
Version: 0.1.1
Date: 2022-12-01
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 (>= 0.5.3), ICtest (>= 0.3-4), JADE (>= 2.0-2), BSSprep,
        ggplot2
Imports: xts, zoo
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. (2021); 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: 2022-12-01 15:31:21 UTC; manmat
Author: Markus Matilainen [cre, aut] (<https://orcid.org/0000-0002-5597-2670>),
  Lea Flumian [aut],
  Klaus Nordhausen [aut] (<https://orcid.org/0000-0002-3758-8501>),
  Sara Taskinen [aut] (<https://orcid.org/0000-0001-9470-7258>)
Repository: CRAN
Date/Publication: 2022-12-01 16:40:05 UTC
Built: R 4.6.0; ; 2025-10-14 03:58:40 UTC; windows
