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-4.7)tsintermittent_1.10.zip(r-4.6)tsintermittent_1.10.zip(r-4.5)
tsintermittent_1.10.tgz(r-4.6-any)tsintermittent_1.10.tgz(r-4.5-any)
tsintermittent_1.10.tar.gz(r-4.7-any)tsintermittent_1.10.tar.gz(r-4.6-any)
tsintermittent_1.10.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:ac26f9c516. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 197 | ||
| source / vignettes | OK | 268 | ||
| linux-release-x86_64 | OK | 188 | ||
| macos-release-arm64 | OK | 167 | ||
| macos-oldrel-arm64 | OK | 119 | ||
| windows-devel | OK | 114 | ||
| windows-release | OK | 102 | ||
| windows-oldrel | OK | 89 | ||
| wasm-release | OK | 152 |
Exports:crostcrost.decompcrost.madata.frcidclassimapasexsmsimIDtsb
Dependencies:askpassclicolorspacecpp11curlfarverforecastfracdiffgenericsggplot2gluegreyboxgtablehttrisobandjsonlitelabelinglatticelifecyclelmtestmagrittrMAPAMASSmimenlmenloptrnnetopensslpracmaR6RColorBrewerRcppRcppArmadillorlangS7scalessmoothstatmodsystexregtimeDateurcavctrsviridisLitewithrxtablezoo
