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SpaceTimeBSS  

Blind Source Separation for Multivariate Spatio-Temporal Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SpaceTimeBSS", "0.4-0")



Attach the package and use:
library("SpaceTimeBSS")
Maintained by
Klaus Nordhausen
[Scholar Profile | Author Map]
First Published: 2022-08-13
Latest Update: 2023-07-20
Description:
Simultaneous/joint diagonalization of local autocovariance matrices to estimate spatio-temporally uncorrelated random fields.
How to cite:
Klaus Nordhausen (2022). SpaceTimeBSS: Blind Source Separation for Multivariate Spatio-Temporal Data. R package version 0.4-0, https://cran.r-project.org/web/packages/SpaceTimeBSS. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1-0 (2022-08-13 14:10), 0.2-0 (2022-11-29 17:00), 0.3-0 (2023-07-20 18:50)
Other packages that cited SpaceTimeBSS R package
View SpaceTimeBSS citation profile
Other R packages that SpaceTimeBSS depends, imports, suggests or enhances
Complete documentation for SpaceTimeBSS
Functions, R codes and Examples using the SpaceTimeBSS R package
Some associated functions: SpaceTimeBSS-package . coef.stbss . lacov . meteo_veneto . print.stbss . stbss . stkmat . 
Some associated R codes: RcppExports.R . stbss.R . utils.R .  Full SpaceTimeBSS package functions and examples
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