WaveletML

Wavelet Decomposition Based Hybrid Machine Learning Models

CRAN Package

Wavelet decomposes a series into multiple sub series called detailed and smooth components which helps to capture volatility at multi resolution level by various models. Two hybrid Machine Learning (ML) models (Artificial Neural Network and Support Vector Regression have been used) have been developed in combination with stochastic models, feature selection, and optimization algorithms for prediction of the data. The algorithms have been developed following Paul and Garai (2021) doi:10.1007/s00500-021-06087-4.

  • Version0.1.0
  • R versionunknown
  • LicenseGPL-3
  • Needs compilation?No
  • Last release04/05/2023

Team


Insights

Last 30 days

Last 365 days

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Imports12 packages
  • Reverse Imports1 package