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tsoutliers  

Detection of Outliers in Time Series
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("tsoutliers", "0.6-10")



Attach the package and use:
library("tsoutliers")
Maintained by
Javier López-de-Lacalle
[Scholar Profile | Author Map]
First Published: 2014-06-17
Latest Update: 2024-02-12
Description:
Detection of outliers in time series following the Chen and Liu (1993) <doi:10.2307/2290724> procedure. Innovational outliers, additive outliers, level shifts, temporary changes and seasonal level shifts are considered.
How to cite:
Javier López-de-Lacalle (2014). tsoutliers: Detection of Outliers in Time Series. R package version 0.6-10, https://cran.r-project.org/web/packages/tsoutliers. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.3 (2014-06-17 02:14), 0.4 (2014-06-28 01:58), 0.5 (2015-01-25 21:32), 0.6-3 (2016-07-07 23:44), 0.6-5 (2016-12-08 15:30), 0.6-6 (2017-05-27 23:23), 0.6-8 (2019-02-24 23:00), 0.6 (2015-01-27 22:30)
Other packages that cited tsoutliers R package
View tsoutliers citation profile
Other R packages that tsoutliers depends, imports, suggests or enhances
Complete documentation for tsoutliers
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