Fundamental time series forecasting models such as autoregressive integrated moving average (ARIMA), exponential smoothing, and simple moving average are included. For ARIMA models, the output follows the traditional parameterisation by Box and Jenkins (1970, ISBN: 0816210942, 9780816210947). Furthermore, there are functions for detailed time series exploration and decomposition, respectively. All data and result visualisations are generated by 'ggplot2' instead of conventional R graphical output. For more details regarding the theoretical background of the models see Hyndman, R.J. and Athanasopoulos, G. (2021) <https://otexts.com/fpp3/>.
| Version: | 1.3.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | ggplot2, lubridate, forecast, tseries, scales |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2026-01-21 |
| DOI: | 10.32614/CRAN.package.tsforecast |
| Author: | Ka Yui Karl Wu [aut, cre] |
| Maintainer: | Ka Yui Karl Wu <karlwuky at suss.edu.sg> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Language: | en-GB |
| CRAN checks: | tsforecast results |
| Reference manual: | tsforecast.html , tsforecast.pdf |
| Package source: | tsforecast_1.3.0.tar.gz |
| Windows binaries: | r-devel: tsforecast_1.3.0.zip, r-release: tsforecast_1.3.0.zip, r-oldrel: tsforecast_1.3.0.zip |
| macOS binaries: | r-release (arm64): tsforecast_1.3.0.tgz, r-oldrel (arm64): tsforecast_1.3.0.tgz, r-release (x86_64): tsforecast_1.3.0.tgz, r-oldrel (x86_64): tsforecast_1.3.0.tgz |
| Old sources: | tsforecast archive |
Please use the canonical form https://CRAN.R-project.org/package=tsforecast to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.