# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "DWaveNARDL" in publications use:'
type: software
license: GPL-3.0-only
title: 'DWaveNARDL: Dual Wavelet Based NARDL Model'
version: 0.1.0
doi: 10.32614/CRAN.package.DWaveNARDL
abstract: Dual Wavelet based Nonlinear Autoregressive Distributed Lag model has been
  developed for noisy time series analysis. This package is designed to capture both
  short-run and long-run relationships in time series data, while incorporating wavelet
  transformations. The methodology combines the NARDL model with wavelet decomposition
  to better capture the nonlinear dynamics of the series and exogenous variables.
  The package is useful for analyzing economic and financial time series data that
  exhibit both long-term trends and short-term fluctuations. This package has been
  developed using algorithm of Jammazi et al. <https://doi.org/10.1016/j.intfin.2014.11.011>.
authors:
- family-names: Yeasin
  given-names: Md
  email: yeasin.iasri@gmail.com
- family-names: Paul
  given-names: Ranjit Kumar
  email: ranjitstat@gmail.com
- family-names: Upadhyay
  given-names: Ranjit Kumar
- family-names: Sarkar
  given-names: Anita
- family-names: Paul
  given-names: Amrit Kumar
repository: https://yeasinstat.r-universe.dev
commit: 67e16b453355f02b2b882138762bab4e0e967687
date-released: '2025-04-30'
contact:
- family-names: Yeasin
  given-names: Md
  email: yeasin.iasri@gmail.com