Package: dyncomp 0.0.2-1
Tim Kaiser
dyncomp: Complexity of Short and Coarse-Grained Time Series
While there are many well-established measures for identifying critical fluctuations and phase transitions, these measures only work with many points of measurement and thus are unreliable when studying short and coarse-grained time series. This package provides a measure for complexity in a time series that does not rely on long time series (Kaiser (2017), <doi:10.17605/OSF.IO/GWTKX>).
Authors:
dyncomp_0.0.2-1.tar.gz
dyncomp_0.0.2-1.tar.gz(r-4.5-noble)dyncomp_0.0.2-1.tar.gz(r-4.4-noble)
dyncomp_0.0.2-1.tgz(r-4.4-emscripten)dyncomp_0.0.2-1.tgz(r-4.3-emscripten)
dyncomp.pdf |dyncomp.html✨
dyncomp/json (API)
| # Install 'dyncomp' in R: |
| install.packages('dyncomp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:145df51fdb. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-linux | OK | Nov 04 2024 |
Exports:complexity
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculate dynamic complexity of time series | complexity |