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seasonal  

R Interface to X-13-ARIMA-SEATS
View on CRAN: Click here


Download and install seasonal package within the R console
Install from CRAN:
install.packages("seasonal")

Install from Github:
library("remotes")
install_github("cran/seasonal")

Install by package version:
library("remotes")
install_version("seasonal", "1.10.0")



Attach the package and use:
library("seasonal")
Maintained by
Christoph Sax
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-12-03
Latest Update: 2024-10-19
Description:
Easy-to-use interface to X-13-ARIMA-SEATS, the seasonal adjustment software by the US Census Bureau. It offers full access to almost all options and outputs of X-13, including X-11 and SEATS, automatic ARIMA model search, outlier detection and support for user defined holiday variables, such as Chinese New Year or Indian Diwali. A graphical user interface can be used through the 'seasonalview' package. Uses the X-13-binaries from the 'x13binary' package.
How to cite:
Christoph Sax (2013). seasonal: R Interface to X-13-ARIMA-SEATS. R package version 1.10.0, https://cran.r-project.org/web/packages/seasonal. Accessed 04 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:02), 0.20.2 (2013-12-03 13:30), 0.40.0 (2014-02-12 11:49), 0.50.0 (2014-03-27 20:08), 0.60.0 (2014-05-09 13:35), 0.70.1 (2014-10-02 12:43), 0.80.0 (2015-02-06 06:14), 0.90.0 (2015-05-08 11:45), 1.0.0 (2015-08-14 22:52), 1.1.0 (2015-10-08 13:40), 1.2.0 (2016-01-28 10:16), 1.2.1 (2016-02-11 11:51), 1.3.0 (2016-08-06 22:31), 1.4.0 (2016-12-23 12:08), 1.5.0 (2017-02-12 12:03), 1.5.1 (2017-02-12 21:07), 1.6.1 (2017-05-02 19:24), 1.7.0 (2018-12-20 11:30), 1.7.1 (2020-06-06 12:10), 1.8.0 (2021-03-05 22:30), 1.8.1 (2021-03-14 21:40), 1.8.2 (2021-03-29 18:30), 1.8.3 (2021-06-15 10:10), 1.8.4 (2021-09-18 12:50), 1.9.0 (2022-04-18 09:00)
Other packages that cited seasonal R package
View seasonal citation profile
Other R packages that seasonal depends, imports, suggests or enhances
Complete documentation for seasonal
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