washeR: Time Series Outlier Detection

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.

Getting started

Package details

AuthorAndrea Venturini
MaintainerAndrea Venturini <andrea.venturini@bancaditalia.it>
LicenseGPL (>= 2)
Version0.1.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("washeR")

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washeR documentation built on Sept. 20, 2022, 9:09 a.m.