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-any)itsmr_1.11.zip(r-4.6-any)itsmr_1.11.zip(r-4.5-any)
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✨
DESCRIPTION
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 | OK | 95 | ||
| source / vignettes | OK | 126 | ||
| linux-release | OK | 90 | ||
| macos-release | OK | 130 | ||
| macos-oldrel | OK | 167 | ||
| windows-devel | OK | 64 | ||
| windows-release | OK | 59 | ||
| windows-oldrel | OK | 59 | ||
| wasm-release | OK | 69 |
Exports:aacvfacvfairpassar.infarararmaautofitburgcheckdeathsdowjforecasthannanhrialakema.infperiodogramplotaplotcplotsResidseasonselftestsimsmooth.expsmooth.fftsmooth.masmooth.rankspecifystrikesSunspotstesttrendwineyw
Dependencies:
