Package: washeR 0.1.3

Andrea Venturini

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.

Authors:Andrea Venturini

washeR_0.1.3.tar.gz
washeR_0.1.3.tar.gz(r-4.5-noble)washeR_0.1.3.tar.gz(r-4.4-noble)
washeR_0.1.3.tgz(r-4.4-emscripten)washeR_0.1.3.tgz(r-4.3-emscripten)
washeR.pdf |washeR.html
washeR/json (API)

# Install 'washeR' in R:
install.packages('washeR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • dati - Data frame of meteorological data
  • ts - Time series

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 scripts 147 downloads 1 exports 5 dependencies

Last updated 2 years agofrom:44e0695e88. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-linuxOKNov 03 2024

Exports:wash.out

Dependencies:bitopscaToolsgplotsgtoolsKernSmooth