Package: WaveletSVR 0.1.0

WaveletSVR: Wavelet-SVR Hybrid Model for Time Series Forecasting

The main aim of this package is to combine the advantage of wavelet and support vector machine models for time series forecasting. This package also gives the accuracy measurements in terms of RMSE and MAPE. This package fits the hybrid Wavelet SVR model for time series forecasting The main aim of this package is to combine the advantage of wavelet and Support Vector Regression (SVR) models for time series forecasting. This package also gives the accuracy measurements in terms of Root Mean Square Error (RMSE) and Mean Absolute Prediction Error (MAPE). This package is based on the algorithm of Raimundo and Okamoto (2018) <doi:10.1109/INFOCT.2018.8356851>.

Authors:Ranjit Kumar Paul [aut, cre], Md Yeasin [aut]

WaveletSVR_0.1.0.tar.gz
WaveletSVR_0.1.0.zip(r-4.5)WaveletSVR_0.1.0.zip(r-4.4)WaveletSVR_0.1.0.zip(r-4.3)
WaveletSVR_0.1.0.tgz(r-4.4-any)WaveletSVR_0.1.0.tgz(r-4.3-any)
WaveletSVR_0.1.0.tar.gz(r-4.5-noble)WaveletSVR_0.1.0.tar.gz(r-4.4-noble)
WaveletSVR_0.1.0.tgz(r-4.4-emscripten)WaveletSVR_0.1.0.tgz(r-4.3-emscripten)
WaveletSVR.pdf |WaveletSVR.html✨
WaveletSVR/json (API)

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On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2 exports 0.00 score 64 dependencies 175 downloads

Last updated 3 years agofrom:6b93a74634. Checks:OK: 7. Indexed: yes.

Exports:WaveletFittingWaveletFittingsvr

Dependencies:askpassclassclicolorspacecurle1071fansifarverforecastfracdiffgenericsggplot2gluegreyboxgtablehttrisobandjsonlitelabelinglatticelifecyclelmtestmagrittrMAPAMASSMatrixmgcvmimemunsellnlmenloptrnnetopensslpillarpkgconfigplotrixpracmaproxyquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangscalessmoothstatmodsystexregtibbletimeDatetseriestsutilsTTRurcautf8vctrsviridisLitewaveletswithrxtablextszoo