Wavelet Based Gradient Boosting Method

Wavelet decomposition method is very useful for modelling noisy time series data. Wavelet decomposition using 'haar' algorithm has been implemented to developed hybrid Wavelet GBM (Gradient Boosting Method) model for time series forecasting using algorithm by Anjoy and Paul (2017) .


Reference manual

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install.packages("WaveletGBM")

0.1.0 by Dr. Ranjit Kumar Paul, 3 years ago


Browse source code at https://github.com/cran/WaveletGBM


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


Documentation:   PDF Manual  


GPL-3 license


Imports caret, dplyr, caretForecast, Metrics, tseries, stats, wavelets, gbm


See at CRAN