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Dyn4cast  

Dynamic Modeling and Machine Learning Environment
View on CRAN: Click here


Download and install Dyn4cast package within the R console
Install from CRAN:
install.packages("Dyn4cast")

Install from Github:
library("remotes")
install_github("cran/Dyn4cast")

Install by package version:
library("remotes")
install_version("Dyn4cast", "11.11.26")



Attach the package and use:
library("Dyn4cast")
Maintained by
Job Nmadu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-23
Latest Update: 2026-07-23
Description:
Estimates, predict and forecast dynamic models as well as Machine Learning metrics which assists in model selection for further analysis. The package also have capabilities to provide tools and metrics that are useful in machine learning and modeling. For example, there is quick summary, percent sign, Mallow's Cp tools and others. The ecosystem of this package is analysis of economic data for national development. The package is so far stable and has high reliability and efficiency as well as time-saving. The package is a variety but the following references are important guide to the major themes in the package (Hyndman & Athanasopoulos (2014 ISBN 978-0-9875071-0-5), Alkire & Santos (2014, doi.org/10.1016/j.worlddev.2014.01.026)).
How to cite:
Job Nmadu (2026). Dyn4cast: Dynamic Modeling and Machine Learning Environment. R package version 11.11.26, https://cran.r-project.org/web/packages/Dyn4cast. Accessed 13 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited Dyn4cast R package
View Dyn4cast citation profile
Other R packages that Dyn4cast depends, imports, suggests or enhances
Complete documentation for Dyn4cast
Functions, R codes and Examples using the Dyn4cast R package
Full Dyn4cast package functions and examples
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