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VBV  

The Generalized Berlin Method for Time Series Decomposition
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("VBV", "0.6.2")



Attach the package and use:
library("VBV")
Maintained by
Detlef Steuer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-01-09
Latest Update: 2023-01-09
Description:
Time series decomposition for univariate time series using the "Verallgemeinerte Berliner Verfahren" (Generalized Berlin Method) as described in 'Kontinuierliche Messgrößen und Stichprobenstrategien in Raum und Zeit mit Anwendungen in den Natur-, Umwelt-, Wirtschafts- und Finanzwissenschaften', by Hebbel and Steuer, Springer Berlin Heidelberg, 2022 <doi:10.1007/978-3-662-65638-9>, or 'Decomposition of Time Series using the Generalised Berlin Method (VBV)' by Hebbel and Steuer, in Jan Beran, Yuanhua Feng, Hartmut Hebbel (Eds.): Empirical Economic and Financial Research - Theory, Methods and Practice, Festschrift in Honour of Prof. Siegfried Heiler. Series: Advanced Studies in Theoretical and Applied Econometrics. Springer 2014, p. 9-40.
How to cite:
Detlef Steuer (2023). VBV: The Generalized Berlin Method for Time Series Decomposition. R package version 0.6.2, https://cran.r-project.org/web/packages/VBV. Accessed 06 Jun. 2026.
Previous versions and publish date:
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Other packages that cited VBV R package
View VBV citation profile
Other R packages that VBV depends, imports, suggests or enhances
Complete documentation for VBV
Functions, R codes and Examples using the VBV R package
Some associated functions: decomposition . estimation . moving.decomposition . moving.estimation . 
Some associated R codes: VBV.R .  Full VBV package functions and examples
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