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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.
Getting started
Browse package contents
Package details |
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| Author | Haydar Demirhan [aut, cre, cph] (<https://orcid.org/0000-0002-8565-4710>) |
| Maintainer | Haydar Demirhan <haydar.demirhan@rmit.edu.au> |
| License | GPL-3 |
| Version | 1.1.13 |
| Package repository | View on CRAN |
| Installation |
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