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 1,155 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 24 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 13,899 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Dec 04, 2024 with 132 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
Binaries
Dependencies
- Depends2 packages
- Imports9 packages