Type: Package
Package: StructuralDecompose
Title: Decomposes a Level Shifted Time Series
Version: 0.1.1
Authors@R: person(given = "Allen",
             family = "Sunny",
             role = c("aut", "cre"),
             email = "allensunny1242@gmail.com")
Description: Explains the behavior of a time series by decomposing it into its trend, seasonality and residuals. 
             It is built to perform very well in the presence of significant level shifts. It is designed to play 
             well with any breakpoint algorithm and any smoothing algorithm. Currently defaults to 'lowess' for smoothing
             and 'strucchange' for breakpoint identification. The package is useful in areas such as trend analysis, time series 
             decomposition, breakpoint identification and anomaly detection.
License: MIT + file LICENSE
URL: https://allen-1242.github.io/StructuralDecompose/
Depends: R (>= 2.10)
Imports: changepoint, segmented, strucchange
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2023-02-11 19:18:15 UTC; sunny
Author: Allen Sunny [aut, cre]
Maintainer: Allen Sunny <allensunny1242@gmail.com>
Repository: CRAN
Date/Publication: 2023-02-13 09:30:04 UTC
Built: R 4.6.0; ; 2026-04-26 02:05:35 UTC; unix
