sarima
Simulation and Prediction with Seasonal ARIMA Models
Functions, classes and methods for time series modelling with ARIMA and related models. The aim of the package is to provide consistent interface for the user. For example, a single function autocorrelations() computes various kinds of theoretical and sample autocorrelations. This is work in progress, see the documentation and vignettes for the current functionality. Function sarima() fits extended multiplicative seasonal ARIMA models with trends, exogenous variables and arbitrary roots on the unit circle, which can be fixed or estimated (for the algebraic basis for this see doi:10.48550/arXiv.2208.05055, a paper on the methodology is being prepared).
- Version0.9.3
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release03/26/2024
Documentation
Team
Georgi N. Boshnakov
Jamie Halliday
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Insights
Last 30 days
This package has been downloaded 1,159 times in the last 30 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 29 times.
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Last 365 days
This package has been downloaded 16,136 times in the last 365 days. The academic equivalent of having a dedicated subreddit. There are fans, and maybe even a few trolls! The day with the most downloads was Nov 11, 2024 with 137 downloads.
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Dependencies
- Imports7 packages
- Suggests5 packages
- Linking To2 packages
- Reverse Imports1 package