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ssaBSS  

Stationary Subspace Analysis
View on CRAN: Click here


Download and install ssaBSS package within the R console
Install from CRAN:
install.packages("ssaBSS")

Install from Github:
library("remotes")
install_github("cran/ssaBSS")

Install by package version:
library("remotes")
install_version("ssaBSS", "0.1.1")



Attach the package and use:
library("ssaBSS")
Maintained by
Markus Matilainen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-12
Latest Update: 2022-12-01
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>).
How to cite:
Markus Matilainen (2021). ssaBSS: Stationary Subspace Analysis. R package version 0.1.1, https://cran.r-project.org/web/packages/ssaBSS
Previous versions and publish date:
0.1 (2021-04-12 09:40)
Other packages that cited ssaBSS R package
View ssaBSS citation profile
Other R packages that ssaBSS depends, imports, suggests or enhances
Functions, R codes and Examples using the ssaBSS R package
Some associated functions: ASSA . SSAcomb . SSAcor . SSAsave . SSAsir . rtvAR1 . rtvvar . ssaBSS-package . ssabss-class . 
Some associated R codes: ASSA.R . SSAcomb.R . SSAcor.R . SSAsave.R . SSAsir.R . ggscreeplot.ssabss.R . rtvAR1.R . rtvvar.R . screeplot.ssabss.R .  Full ssaBSS package functions and examples
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