Package: WaveletML Type: Package Title: Wavelet Decomposition Based Hybrid Machine Learning Models Version: 0.1.0 Authors@R: c(person(" Mr. Sandip", "Garai", role = c("aut","cre"), email = "sandipnicksandy@gmail.com"), person("Dr. Ranjit Kumar", "Paul", role = "aut", email = "ranjitstat@gmail.com"), person("Dr. Md", "Yeasin", role = "aut", email = "yeasin.iasri@gmail.com")) Author: Mr. Sandip Garai [aut, cre], Dr. Ranjit Kumar Paul [aut], Dr. Md Yeasin [aut] Maintainer: Mr. Sandip Garai 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) . License: GPL-3 Encoding: UTF-8 Imports: stats, utils, wavelets, tseries, forecast, fGarch, aTSA, FinTS, LSTS, earth, caret, neuralnet, e1071, pso RoxygenNote: 7.2.1 NeedsCompilation: no Packaged: 2026-09-24 09:35:28 UTC; root Config/pak/sysreqs: libicu-dev libssl-dev Repository: https://sandipgarai.r-universe.dev Date/Publication: 2023-04-05 17:33:20 UTC RemoteUrl: https://github.com/cran/WaveletML RemoteRef: HEAD RemoteSha: 639b495984e9dca43b2ccfd336db2d97a934ef28