BayesARIMAX
Bayesian Estimation of ARIMAX Model
The Autoregressive Integrated Moving Average (ARIMA) model is very popular univariate time series model. Its application has been widened by the incorporation of exogenous variable(s) (X) in the model and modified as ARIMAX by Bierens (1987) doi:10.1016/0304-4076(87)90086-8. In this package we estimate the ARIMAX model using Bayesian framework.
- Version0.1.1
- R version≥ 3.3.0
- LicenseGPL-3
- Needs compilation?No
- Last release05/20/2020
Documentation
Team
Achal Lama
Bishal Gurung
Show author detailsRolesAuthorKn Singh
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 253 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 17 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 3,438 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jun 07, 2024 with 34 downloads.
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Dependencies
- Depends2 packages