Package: VBV 0.6.2

VBV: The Generalized Berlin Method for Time Series Decomposition

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.

Authors:Detlef Steuer [aut, cre], Hartmut Hebbel [aut]

VBV_0.6.2.tar.gz
VBV_0.6.2.zip(r-4.5)VBV_0.6.2.zip(r-4.4)VBV_0.6.2.zip(r-4.3)
VBV_0.6.2.tgz(r-4.4-any)VBV_0.6.2.tgz(r-4.3-any)
VBV_0.6.2.tar.gz(r-4.5-noble)VBV_0.6.2.tar.gz(r-4.4-noble)
VBV_0.6.2.tgz(r-4.4-emscripten)VBV_0.6.2.tgz(r-4.3-emscripten)
VBV.pdf |VBV.html✨
VBV/json (API)

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4 exports 0.00 score 0 dependencies 250 downloads

Last updated 2 years agofrom:df8d81e9e9. Checks:OK: 3 NOTE: 4. Indexed: yes.

Exports:decompositionestimationmoving.decompositionmoving.estimation

Dependencies: