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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:44e0695e88. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 03 2024 |
| R-4.5-linux | OK | Dec 03 2024 |
Exports:wash.out
Dependencies:bitopscaToolsgplotsgtoolsKernSmooth
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Data frame of meteorological data | dati |
| Time series | ts |
| Outlier detection for single or grouped time series | wash.out |