legion
Forecasting Using Multivariate Models
Functions implementing multivariate state space models for purposes of time series analysis and forecasting. The focus of the package is on multivariate models, such as Vector Exponential Smoothing, Vector ETS (Error-Trend-Seasonal model) etc. It currently includes Vector Exponential Smoothing (VES, de Silva et al., 2010, doi:10.1177/1471082X0901000401), Vector ETS (Svetunkov et al., 2023, doi:10.1016/j.ejor.2022.04.040) and simulation function for VES.
- Version0.2.1
- R versionR (≥ 3.5.0)
- LicenseLGPL-2.1
- Needs compilation?Yes
- Languageen-GB
- Last release02/03/2025
Documentation
Team
Ivan Svetunkov
MaintainerShow author detailsKandrika Fadhlan Pritularga
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 684 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 14 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 5,686 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Feb 20, 2025 with 74 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
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Dependencies
- Depends2 packages
- Imports5 packages
- Suggests7 packages
- Linking To2 packages
- Reverse Suggests1 package