Package: WaveletML 0.1.0
WaveletML: Wavelet Decomposition Based Hybrid Machine Learning Models
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>.
Authors:
WaveletML_0.1.0.tar.gz
WaveletML_0.1.0.zip(r-4.5)WaveletML_0.1.0.zip(r-4.4)WaveletML_0.1.0.zip(r-4.3)
WaveletML_0.1.0.tgz(r-4.4-any)WaveletML_0.1.0.tgz(r-4.3-any)
WaveletML_0.1.0.tar.gz(r-4.5-noble)WaveletML_0.1.0.tar.gz(r-4.4-noble)
WaveletML_0.1.0.tgz(r-4.4-emscripten)WaveletML_0.1.0.tgz(r-4.3-emscripten)
WaveletML.pdf |WaveletML.html✨
WaveletML/json (API)
# Install 'WaveletML' in R: |
install.packages('WaveletML', repos = c('https://sandipgarai.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:639b495984. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win | OK | Oct 31 2024 |
R-4.5-linux | OK | Oct 31 2024 |
R-4.4-win | OK | Oct 31 2024 |
R-4.4-mac | OK | Oct 31 2024 |
R-4.3-win | OK | Oct 31 2024 |
R-4.3-mac | OK | Oct 31 2024 |
Dependencies:aTSAcaretclasscliclockcodetoolscolorspacecpp11curlcvardata.tableDerivdiagramdigestdplyre1071earthfansifarverfastICAfBasicsfGarchFinTSforeachforecastFormulafracdifffuturefuture.applygbutilsgenericsggplot2globalsgluegowergssgtablehardhatipredisobanditeratorsjsonliteKernSmoothlabelinglatticelavalifecyclelistenvlmtestLSTSlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellneuralnetnlmennetnumDerivparallellypatchworkpillarpkgconfigplotmoplotrixplyrpROCprodlimprogressrproxypsopurrrquadprogquantmodR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrecipesreshape2rlangrpartscalesshapespatialSQUAREMstablediststringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetimeSeriestseriesTTRtzdburcautf8vctrsviridisLitewaveletswithrxtszoo