boiwsa: Seasonal Adjustment of Weekly Data
Perform seasonal adjustment and forecasting of weekly data. The package provides a user-friendly interface for computing seasonally adjusted estimates and forecasts of weekly time series and includes functions for the construction of country-specific prior adjustment variables, as well as diagnostic tools to assess the quality of the adjustments. The methodology is described in more detail in Ginker (2024) <doi:10.13140/RG.2.2.12221.44000>.
| Version: | 1.1.4 |
| Depends: | R (≥ 2.10) |
| Imports: | dplyr,forecast,ggplot2,Hmisc,lubridate, stats,tidyr,rlang,gridExtra |
| Published: | 2025-12-14 |
| DOI: | 10.32614/CRAN.package.boiwsa |
| Author: | Tim Ginker [aut, cre, cph], Jon Lachman [ctb] |
| Maintainer: | Tim Ginker <tim.ginker at gmail.com> |
| BugReports: | https://github.com/timginker/boiwsa/issues |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/timginker/boiwsa |
| NeedsCompilation: | no |
| Citation: | boiwsa citation info |
| Materials: | README,NEWS |
| In views: | TimeSeries |
| CRAN checks: | boiwsa results |
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