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washeR  

Time Series Outlier Detection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("washeR", "0.1.3")



Attach the package and use:
library("washeR")
Maintained by
Andrea Venturini
[Scholar Profile | Author Map]
First Published: 2018-07-11
Latest Update: 2022-09-20
Description:
Time series outlier detection with non parametric test. This is a new outlier detection methodology (washer): efficient for time saving elaboration and implementation procedures, adaptable for general assumptions and for needing very short time series, reliable and effective as involving robust non parametric test. You can find two approaches: single time series (a vector) and grouped time series (a data frame). For other informations: Andrea Venturini (2011) Statistica - Universita di Bologna, Vol.71, pp.329-344. For an informal explanation look at R-bloggers on web.
How to cite:
Andrea Venturini (2018). washeR: Time Series Outlier Detection. R package version 0.1.3, https://cran.r-project.org/web/packages/washeR. Accessed 07 May. 2025.
Previous versions and publish date:
0.1.0 (2018-07-11 13:00), 0.1.2 (2018-07-12 18:00)
Other packages that cited washeR R package
View washeR citation profile
Other R packages that washeR depends, imports, suggests or enhances
Complete documentation for washeR
Functions, R codes and Examples using the washeR R package
Some associated functions: dati . ts . wash.out . 
Some associated R codes: dati.R . ts.R . wash.out.R .  Full washeR package functions and examples
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