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dLagM  

Time Series Regression Models with Distributed Lag Models
View on CRAN: Click here


Download and install dLagM package within the R console
Install from CRAN:
install.packages("dLagM")

Install from Github:
library("remotes")
install_github("cran/dLagM")

Install by package version:
library("remotes")
install_version("dLagM", "1.1.13")



Attach the package and use:
library("dLagM")
Maintained by
Haydar Demirhan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-08-08
Latest Update: 2023-08-08
Description:
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)() and Baltagi (2011)() for more information.
How to cite:
Haydar Demirhan (2017). dLagM: Time Series Regression Models with Distributed Lag Models. R package version 1.1.13, https://cran.r-project.org/web/packages/dLagM
Previous versions and publish date:
0.0.7 (2017-08-08 15:12), 0.0.8 (2017-08-27 13:40), 0.0.9 (2017-09-04 14:50), 0.1.0 (2017-09-11 13:00), 1.0.0 (2017-12-20 13:23), 1.0.2 (2018-01-17 13:45), 1.0.6 (2018-09-14 09:20), 1.0.7 (2018-09-27 14:00), 1.0.8 (2018-10-15 06:30), 1.0.10 (2018-10-22 13:00), 1.0.12 (2019-05-02 11:40), 1.0.15 (2019-07-18 08:37), 1.0.17 (2019-08-24 08:40), 1.0.18 (2019-10-18 09:30), 1.0.19 (2019-10-23 16:30), 1.0.21 (2020-01-17 09:20), 1.1.2 (2020-02-29 12:40), 1.1.3 (2020-05-12 06:50), 1.1.4 (2020-07-13 08:50), 1.1.6.2 (2021-08-02 06:10), 1.1.7 (2022-02-23 12:10), 1.1.8 (2022-05-09 15:50), 1.1.12 (2023-08-09 01:40)
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