Package: tsintermittent 1.10
tsintermittent: Intermittent Time Series Forecasting
Time series methods for intermittent demand forecasting. Includes Croston's method and its variants (Moving Average, SBA), and the TSB method. Users can obtain optimal parameters on a variety of loss functions, or use fixed ones (Kourenztes (2014) <doi:10.1016/j.ijpe.2014.06.007>). Intermittent time series classification methods and iMAPA that uses multiple temporal aggregation levels are also provided (Petropoulos & Kourenztes (2015) <doi:10.1057/jors.2014.62>).
Authors:
tsintermittent_1.10.tar.gz
tsintermittent_1.10.zip(r-4.5)tsintermittent_1.10.zip(r-4.4)tsintermittent_1.10.zip(r-4.3)
tsintermittent_1.10.tgz(r-4.4-any)tsintermittent_1.10.tgz(r-4.3-any)
tsintermittent_1.10.tar.gz(r-4.5-noble)tsintermittent_1.10.tar.gz(r-4.4-noble)
tsintermittent_1.10.tgz(r-4.4-emscripten)tsintermittent_1.10.tgz(r-4.3-emscripten)
tsintermittent.pdf |tsintermittent.html✨
tsintermittent/json (API)
| # Install 'tsintermittent' in R: |
| install.packages('tsintermittent', repos = c('https://trnnick.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/trnnick/tsintermittent/issues
Last updated 2 years agofrom:ac26f9c516. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-win | OK | Nov 04 2024 |
| R-4.5-linux | OK | Nov 04 2024 |
| R-4.4-win | OK | Nov 04 2024 |
| R-4.4-mac | OK | Nov 04 2024 |
| R-4.3-win | OK | Nov 04 2024 |
| R-4.3-mac | OK | Nov 04 2024 |
Exports:crostcrost.decompcrost.madata.frcidclassimapasexsmsimIDtsb
Dependencies:askpassclicolorspacecurlfansifarverforecastfracdiffgenericsggplot2gluegreyboxgtablehttrisobandjsonlitelabelinglatticelifecyclelmtestmagrittrMAPAMASSMatrixmgcvmimemunsellnlmenloptrnnetopensslpillarpkgconfigpracmaquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangscalessmoothstatmodsystexregtibbletimeDatetseriesTTRurcautf8vctrsviridisLitewithrxtablextszoo
