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# CITATION 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 "WaveletSVR" in publications use:'
type: software
license: GPL-3.0-only
title: 'WaveletSVR: Wavelet-SVR Hybrid Model for Time Series Forecasting'
version: 0.1.0
doi: 10.32614/CRAN.package.WaveletSVR
abstract: 'The main aim of this package is to combine the advantage of wavelet and
  support vector machine models for time series forecasting. This package also gives
  the accuracy measurements in terms of RMSE and MAPE. This package fits the hybrid
  Wavelet SVR model for time series forecasting The main aim of this package is to
  combine the advantage of wavelet and Support Vector Regression (SVR) models for
  time series forecasting. This package also gives the accuracy measurements in terms
  of Root Mean Square Error (RMSE) and Mean Absolute Prediction Error (MAPE). This
  package is based on the algorithm of Raimundo and Okamoto (2018) <DOI: 10.1109/INFOCT.2018.8356851>.'
authors:
- family-names: Paul
  given-names: Ranjit Kumar
  email: ranjitstat@gmail.com
- family-names: Yeasin
  given-names: Md
  email: yeasin.iasri@gmail.com
repository: https://ranjitstat.r-universe.dev
commit: 6b93a74634a28569544e3ab9cfd55f0cc6c79705
date-released: '2022-01-06'
contact:
- family-names: Paul
  given-names: Ranjit Kumar
  email: ranjitstat@gmail.com