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Seasonal- and calendar adjustment of time series with daily frequency using the DSA approach developed by Ollech, Daniel (2018): Seasonal adjustment of daily time series. Bundesbank Discussion Paper 41/2018.
| Version: | 1.0.12 |
| Depends: | R (≥ 3.1.0) |
| Imports: | ggplot2, xts, zoo, R2HTML, grid, tools, tsoutliers, htmlwidgets, forecast, rJava, timeDate, dygraphs, gridExtra, reshape2, stats, seastests |
| Suggests: | knitr, rmarkdown, stR |
| Published: | 2021-06-21 |
| DOI: | 10.32614/CRAN.package.dsa |
| Author: | Daniel Ollech [aut, cre] |
| Maintainer: | Daniel Ollech <daniel.ollech at bundesbank.de> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | TimeSeries |
| CRAN checks: | dsa results |
| Reference manual: | dsa.pdf |
| Vignettes: |
dsa-vignette |
| Package source: | dsa_1.0.12.tar.gz |
| Windows binaries: | r-devel: dsa_1.0.12.zip, r-release: dsa_1.0.12.zip, r-oldrel: dsa_1.0.12.zip |
| macOS binaries: | r-release (arm64): dsa_1.0.12.tgz, r-oldrel (arm64): dsa_1.0.12.tgz, r-release (x86_64): dsa_1.0.12.tgz, r-oldrel (x86_64): dsa_1.0.12.tgz |
| Old sources: | dsa archive |
| Reverse imports: | tssim |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.