Package: vse4ts 1.0.0

vse4ts: Identify Memory Patterns in Time Series Using Variance Scale Exponent

Methods for calculating the variance scale exponent to identify memory patterns in time series data. Includes tests for white noise, short memory, and long memory. See Fu, H. et al. (2018) <doi:10.1016/j.physa.2018.06.092>.

Authors:Mengyang Zheng [aut, cre], Hui Fu [aut]

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NEWS

# Install 'vse4ts' in R:
install.packages('vse4ts', repos = c('https://z-my-cn.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/z-my-cn/vse4ts/issues

On CRAN:

3.85 score 2 stars 3 scripts 121 downloads 3 exports 0 dependencies

Last updated 4 months agofrom:4147657761. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 21 2024
R-4.5-winOKNov 21 2024
R-4.5-linuxOKNov 21 2024
R-4.4-winOKNov 21 2024
R-4.4-macOKNov 21 2024
R-4.3-winOKNov 21 2024
R-4.3-macOKNov 21 2024

Exports:SLmemory.testvseWnoise.test

Dependencies: