WaveletML

Description

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>.

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Package required but not available: ‘caret’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.

Package required but not available: ‘caret’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.

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Dependency Network

R Observatory began tracking this package on Mar 10, 2026; it first appeared on CRAN Apr 5, 2023. Releases before tracking aren’t shown.