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]

vse4ts_1.0.0.tar.gz
vse4ts_1.0.0.zip(r-4.5)vse4ts_1.0.0.zip(r-4.4)vse4ts_1.0.0.zip(r-4.3)
vse4ts_1.0.0.tgz(r-4.5-any)vse4ts_1.0.0.tgz(r-4.4-any)vse4ts_1.0.0.tgz(r-4.3-any)
vse4ts_1.0.0.tar.gz(r-4.5-noble)vse4ts_1.0.0.tar.gz(r-4.4-noble)
vse4ts_1.0.0.tgz(r-4.4-emscripten)vse4ts_1.0.0.tgz(r-4.3-emscripten)
vse4ts.pdf |vse4ts.html✨
vse4ts/json (API)
NEWS

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

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

Pkgdown site:https://z-my-cn.github.io

On CRAN:

Conda:

3.70 score 2 stars 3 scripts 159 downloads 3 exports 0 dependencies

Last updated 8 months agofrom:4147657761. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 19 2025
R-4.5-winOKFeb 19 2025
R-4.5-macOKFeb 19 2025
R-4.5-linuxOKFeb 19 2025
R-4.4-winOKFeb 19 2025
R-4.4-macOKFeb 19 2025
R-4.3-winOKFeb 19 2025
R-4.3-macOKFeb 19 2025

Exports:SLmemory.testvseWnoise.test

Dependencies: