x13binary: Provide the 'x13ashtml' Seasonal Adjustment Binary
X-13arima-seats
The US Census Bureau provides a seasonal adjustment program now called 'X-13ARIMA-SEATS' building on both earlier programs called X-11 and X-12 as well as the SEATS program by the Bank of Spain. The US Census Bureau offers both source and binary versions – which this package integrates for use by other R packages.
- At a glance: I show how to seasonally adjust published electronic card transactions spend in New Zealand using the US Census Bureau's excellent X-13ARIMA-SEATS software, the Spanish SEATS algorithm and Christoph Sax's seasonal R package; and how to build a new 'stat' for ggplot2 to make it easy to do seasonal adjustment on the fly for a graphic of a time series split by various grouping.
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A substantial part of the output of X-13ARIMA-SEATS can be shown on the website. Click and drag to zoom into the graph. Double click to restore the original view. Manipulating the R-Call. The R-Call to seasonal can be modified and run online. In the picture below, the ARIMA model has been adjusted to include an autoregressive parameter of order 2.
Version: | 1.1.39-3 |
Published: | 2021-03-29 |
Author: | Dirk Eddelbuettel and Christoph Sax |
Maintainer: | Dirk Eddelbuettel <edd at debian.org> |
BugReports: | https://github.com/x13org/x13binary/issues/ |
License: | file LICENSE |
Copyright: | file inst/COPYRIGHT |
URL: | https://github.com/x13org/x13binary |
NeedsCompilation: | no |
Materials: | |
In views: | TimeSeries |
CRAN checks: | x13binary results |
Downloads:
Reference manual: | x13binary.pdf |
Package source: | x13binary_1.1.39-3.tar.gz |
Windows binaries: | r-devel: x13binary_1.1.39-3.zip, r-release: x13binary_1.1.39-3.zip, r-oldrel: x13binary_1.1.39-3.zip |
macOS binaries: | r-release (arm64): x13binary_1.1.39-3.tgz, r-release (x86_64): x13binary_1.1.39-3.tgz, r-oldrel: x13binary_1.1.39-3.tgz |
Old sources: | x13binary archive |
X-13arima
Reverse dependencies:
Reverse depends: | x12 |
Reverse imports: | gunsales, seasonal |
Linking:
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