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
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vse4ts_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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/docs site:https://z-my-cn.github.io

On CRAN:

3.00 score 2 stars 3 scripts 173 downloads 3 exports 0 dependencies

Last updated from:4147657761. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	99
source / vignettes	OK	118
linux-release-x86_64	OK	90
macos-release-arm64	OK	127
macos-oldrel-arm64	OK	121
windows-devel	OK	82
windows-release	OK	62
windows-oldrel	OK	56
wasm-release	OK	81