Package: SSAforecast 0.1.1
SSAforecast: SSA Based Decomposition and Forecasting
Singular spectrum analysis (SSA) decomposes a time series into interpretable components like trends, oscillations, and noise without strict distributional and structural assumptions. For method details see Golyandina N, Zhigljavsky A (2013). <doi:10.1007/978-3-642-34913-3>.
Authors:
SSAforecast_0.1.1.tar.gz
SSAforecast_0.1.1.zip(r-4.7-any)SSAforecast_0.1.1.zip(r-4.6-any)SSAforecast_0.1.1.zip(r-4.5-any)
SSAforecast_0.1.1.tgz(r-4.6-any)SSAforecast_0.1.1.tgz(r-4.5-any)
SSAforecast_0.1.1.tar.gz(r-4.7-any)SSAforecast_0.1.1.tar.gz(r-4.6-any)
SSAforecast_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SSAforecast/json (API)
| # Install 'SSAforecast' in R: |
| install.packages('SSAforecast', repos = c('https://rrk4910.r-universe.dev', 'https://cloud.r-project.org')) |
- tsdata - Time series data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:86c767963e. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 137 | ||
| source / vignettes | OK | 190 | ||
| linux-release | OK | 143 | ||
| macos-release | OK | 128 | ||
| macos-oldrel | OK | 88 | ||
| windows-devel | OK | 88 | ||
| windows-release | OK | 82 | ||
| windows-oldrel | OK | 75 | ||
| wasm-release | OK | 107 |
Dependencies:clicolorspacecpp11farverforecastfracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelmtestmagrittrnlmennetR6RColorBrewerRcppRcppArmadillorlangRssaS7scalessvdtimeDateurcavctrsviridisLitewithrzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Singular Spectrum Analysis Decomposition For Time Series Data | print.SSAdecomp SSAdecomp |
| Singular Spectrum Analysis Based Time Series Forecasting Model | SSAfcast |
| Time series data | tsdata |