Package: itsmr 1.11
itsmr: Time Series Analysis Using the Innovations Algorithm
Provides functions for modeling and forecasting time series data. Forecasting is based on the innovations algorithm. A description of the innovations algorithm can be found in the textbook "Introduction to Time Series and Forecasting" by Peter J. Brockwell and Richard A. Davis.
Authors:
itsmr_1.11.tar.gz
itsmr_1.11.zip(r-4.7)itsmr_1.11.zip(r-4.6)itsmr_1.11.zip(r-4.5)
itsmr_1.11.tgz(r-4.6-any)itsmr_1.11.tgz(r-4.5-any)
itsmr_1.11.tar.gz(r-4.7-any)itsmr_1.11.tar.gz(r-4.6-any)
itsmr_1.11.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
itsmr/json (API)
| # Install 'itsmr' in R: |
| install.packages('itsmr', repos = c('https://georgeweigt.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/georgeweigt/itsmr-refman.pdf/issues
Last updated from:250b7be912. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 87 | ||
| source / vignettes | OK | 180 | ||
| linux-release-x86_64 | OK | 130 | ||
| macos-release-arm64 | OK | 142 | ||
| macos-oldrel-arm64 | OK | 183 | ||
| windows-devel | OK | 59 | ||
| windows-release | OK | 70 | ||
| windows-oldrel | OK | 71 | ||
| wasm-release | OK | 87 |
Exports:aacvfacvfairpassar.infarararmaautofitburgcheckdeathsdowjforecasthannanhrialakema.infperiodogramplotaplotcplotsResidseasonselftestsimsmooth.expsmooth.fftsmooth.masmooth.rankspecifystrikesSunspotstesttrendwineyw
Dependencies:
