Package: robustarima 0.2.7
robustarima: Robust ARIMA Modeling
Functions for fitting a linear regression model with ARIMA errors using a filtered tau-estimate. The methodology is described in Maronna et al (2017, ISBN:9781119214687).
Authors:
robustarima_0.2.7.tar.gz
robustarima_0.2.7.zip(r-4.5)robustarima_0.2.7.zip(r-4.4)robustarima_0.2.7.zip(r-4.3)
robustarima_0.2.7.tgz(r-4.4-x86_64)robustarima_0.2.7.tgz(r-4.4-arm64)robustarima_0.2.7.tgz(r-4.3-x86_64)robustarima_0.2.7.tgz(r-4.3-arm64)
robustarima_0.2.7.tar.gz(r-4.5-noble)robustarima_0.2.7.tar.gz(r-4.4-noble)
robustarima_0.2.7.tgz(r-4.4-emscripten)robustarima_0.2.7.tgz(r-4.3-emscripten)
robustarima.pdf |robustarima.html✨
robustarima/json (API)
# Install 'robustarima' in R: |
install.packages('robustarima', repos = c('https://spkaluzny.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/spkaluzny/robustarima/issues
- frip.dat - Monthly Industrial Production of France
- import.dat - Monthly Imports and Import Taxes of Argentina
- newtaxes.dat - Monthly Import Taxes of Argentina
arimarobust-statisticstime-series-analysis
Last updated 2 months agofrom:0675e2d9f5. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 23 2024 |
R-4.5-win-x86_64 | OK | Nov 23 2024 |
R-4.5-linux-x86_64 | OK | Nov 23 2024 |
R-4.4-win-x86_64 | OK | Nov 23 2024 |
R-4.4-mac-x86_64 | OK | Nov 23 2024 |
R-4.4-mac-aarch64 | OK | Nov 23 2024 |
R-4.3-win-x86_64 | OK | Nov 23 2024 |
R-4.3-mac-x86_64 | OK | Nov 23 2024 |
R-4.3-mac-aarch64 | OK | Nov 23 2024 |
Exports:arima.robarima.rob.fitoutliers
Dependencies:splusTimeDatesplusTimeSeries
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Robust Fit of a REGARIMA Model and Outliers Detection | arima.rob |
Robust REGARIMA Model and Outliers Detection Objects | arima.rob.object |
Use coef on an arima.rob Object | coef.arima.rob |
Monthly Industrial Production of France | frip.dat |
Monthly Imports and Import Taxes of Argentina | import.dat |
Monthly Import Taxes of Argentina | newtaxes.dat |
Outliers Extraction for an <code>arima.rob</code> Object | outliers |
Outliers Objects Extracted from <code>arima.rob</code> Objects | outliers.object |
Use predict on an arima.rob Object | predict.arima.rob |
Use print on an arima.rob Object | print.arima.rob |
Use print on an outliers Object | print.outliers |
Use print on a summary.arima.rob Object | print.summary.arima.rob |
Use print on a summary.outliers Object | print.summary.outliers |
Summary Method for arima.rob Objects | summary.arima.rob |
Summary Method for outliers Objects | summary.outliers |
Use <code>vcov()</code> on an <code>arima.rob</code> Model Object | vcov.arima.rob |