This package is considered a duplicate. The official version of this package is found at:https://spkaluzny.r-universe.dev/robustarima
Package: robustarima 0.2.7
Stephen Kaluzny
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.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://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/spkaluzny/robustarima/issues
Datasets:
- frip.dat - Monthly Industrial Production of France
- import.dat - Monthly Imports and Import Taxes of Argentina
- newtaxes.dat - Monthly Import Taxes of Argentina
Last updated 2 months agofrom:311880c239. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 23 2024 |
| R-4.5-linux-x86_64 | 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 |
