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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "Dyn4cast" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'Dyn4cast: Dynamic Modeling and Machine Learning Environment'
version: 11.11.26
identifiers:
- type: url
  value: https://jobnmadu.r-universe.dev/Dyn4cast
abstract: 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)).
authors:
- family-names: Nmadu
  given-names: Job
  email: job.nmadu@gmail.com
  orcid: https://orcid.org/0000-0002-1320-8957
repository: https://cran.r-universe.dev
repository-code: https://github.com/JobNmadu/Dyn4cast
commit: b035e230b97f3315f7eac3f1441286c77d447138
url: https://jobnmadu.github.io/Dyn4cast/
date-released: '2026-07-23'
contact:
- family-names: Nmadu
  given-names: Job
  email: job.nmadu@gmail.com
  orcid: https://orcid.org/0000-0002-1320-8957