Package: stR Title: Seasonal Trend Decomposition Using Regression Version: 0.7.1.9000 Description: 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@R: c( person("Alexander", "Dokumentov", role = "aut", comment = c(ORCID = "0000-0003-0478-0983")), person("Rob", "Hyndman", email = "Rob.Hyndman@monash.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-2140-5352")) ) Depends: R (>= 3.5.0) Imports: compiler, foreach, forecast, graphics, grDevices, Matrix, methods, quantreg, SparseM, stats Suggests: demography, doParallel, knitr, markdown, rgl, rmarkdown, seasonal, testthat URL: https://pkg.robjhyndman.com/stR/, https://github.com/robjhyndman/stR BugReports: https://github.com/robjhyndman/stR/issues License: GPL-3 LazyData: true Encoding: UTF-8 Config/testthat/edition: 3 Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.2 VignetteBuilder: knitr Repository: https://robjhyndman.r-universe.dev Date/Publication: 2025-09-03 00:22:55 UTC RemoteUrl: https://github.com/robjhyndman/stR RemoteRef: HEAD RemoteSha: c6bb49e7c6e42ea2d965195b9546bcb0edcae842 NeedsCompilation: no Packaged: 2026-06-16 09:45:22 UTC; root Author: Alexander Dokumentov [aut] (ORCID: ), Rob Hyndman [aut, cre] (ORCID: ) Maintainer: Rob Hyndman