dLagM
Time Series Regression Models with Distributed Lag Models
Provides time series regression models with one predictor using finite distributed lag models, polynomial (Almon) distributed lag models, geometric distributed lag models with Koyck transformation, and autoregressive distributed lag models. It also consists of functions for computation of h-step ahead forecasts from these models. See Demirhan (2020)(doi:10.1371/journal.pone.0228812) and Baltagi (2011)(doi:10.1007/978-3-642-20059-5) for more information.
- Version1.1.13
- R version≥ 3.6.0
- LicenseGPL-3
- Needs compilation?No
- dLagM citation info
- Last release10/02/2023
Documentation
Team
Haydar Demirhan
Insights
Last 30 days
This package has been downloaded 1,076 times in the last 30 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 19 times.
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Last 365 days
This package has been downloaded 13,843 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 Dec 04, 2024 with 132 downloads.
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Dependencies
- Depends2 packages
- Imports9 packages