Package: stR 0.7.0.9000
stR: Seasonal Trend Decomposition Using Regression
Methods for decomposing seasonal data: STR (a Seasonal-Trend time series decomposition procedure based on Regression) and Robust STR. In some ways, STR is similar to Ridge Regression and Robust STR can be related to LASSO. They allow for multiple seasonal components, multiple linear covariates with constant, flexible and seasonal influence. Seasonal patterns (for both seasonal components and seasonal covariates) can be fractional and flexible over time; moreover they can be either strictly periodic or have a more complex topology. The methods provide confidence intervals for the estimated components. The methods can also be used for forecasting.
Authors:
stR_0.7.0.9000.tar.gz
stR_0.7.0.9000.zip(r-4.5)stR_0.7.0.9000.zip(r-4.4)stR_0.7.0.9000.zip(r-4.3)
stR_0.7.0.9000.tgz(r-4.5-any)stR_0.7.0.9000.tgz(r-4.4-any)stR_0.7.0.9000.tgz(r-4.3-any)
stR_0.7.0.9000.tar.gz(r-4.5-noble)stR_0.7.0.9000.tar.gz(r-4.4-noble)
stR_0.7.0.9000.tgz(r-4.4-emscripten)stR_0.7.0.9000.tgz(r-4.3-emscripten)
stR.pdf |stR.html✨
stR/json (API)
NEWS
| # Install 'stR' in R: |
| install.packages('stR', repos = c('https://robjhyndman.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/robjhyndman/str/issues
Pkgdown site:https://pkg.robjhyndman.com
- calls - Number of phone calls dataset
- electricity - Electricity consumption dataset
- grocery - Grocery and supermarkets turnover
Last updated 2 months agofrom:37888ac68a. Checks:1 ERROR, 8 WARNING. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | FAIL | Mar 27 2025 |
| R-4.5-win | WARNING | Mar 27 2025 |
| R-4.5-mac | WARNING | Mar 27 2025 |
| R-4.5-linux | WARNING | Mar 27 2025 |
| R-4.4-win | WARNING | Mar 27 2025 |
| R-4.4-mac | WARNING | Mar 27 2025 |
| R-4.4-linux | WARNING | Mar 27 2025 |
| R-4.3-win | WARNING | Mar 27 2025 |
| R-4.3-mac | WARNING | Mar 27 2025 |
Exports:AutoSTRcomponentsheuristicSTRplotBetaRSTRmodelseasadjSTRSTRmodel
Dependencies:clicodetoolscolorspacecurlfansifarverforeachforecastfracdiffgenericsggplot2gluegtableisobanditeratorsjsonlitelabelinglatticelifecyclelmtestmagrittrMASSMatrixMatrixModelsmgcvmunsellnlmennetpillarpkgconfigquadprogquantmodquantregR6RColorBrewerRcppRcppArmadillorlangscalesSparseMsurvivaltibbletimeDatetseriesTTRurcautf8vctrsviridisLitewithrxtszoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Automatic STR decomposition for time series data | AutoSTR |
| Number of phone calls dataset | calls |
| Extract STR components | components |
| Electricity consumption dataset | electricity |
| Grocery and supermarkets turnover | grocery |
| Automatic STR decomposition with heuristic search of the parameters | heuristicSTR |
| Plots the results of decomposition | plot.STR |
| Plots the varying beta coefficients of decomposition | plotBeta |
| Robust STR decomposition | RSTRmodel |
| Seasonal adjustment based on STR | seasadj.STR |
| Automatic STR decomposition | STR |
| STR decomposition | STRmodel |
