CRAN/E | WaveletML

WaveletML

Wavelet Decomposition Based Hybrid Machine Learning Models

Installation

About

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.

Key Metrics

Version 0.1.0
Published 2023-04-05 388 days ago
Needs compilation? no
License GPL-3
CRAN checks WaveletML results

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Maintainer

Maintainer

Mr. Sandip Garai

sandipnicksandy@gmail.com

Authors

Mr. Sandip Garai

aut / cre

Dr. Ranjit Kumar Paul

aut

Dr. Md Yeasin

aut

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Imports

stats
utils
wavelets
tseries
forecast
fGarch
aTSA
FinTS
LSTS
earth
caret
neuralnet
e1071
pso