Time Series Forecasting using SVM Model

Implementation and forecasting univariate time series data using the Support Vector Machine model. Support Vector Machine is one of the prominent machine learning approach for non-linear time series forecasting. For method details see Kim, K. (2003) .


Reference manual

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install.packages("TSSVM")

0.1.0 by Mrinmoy Ray, 4 years ago


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


Authors: Mrinmoy Ray [aut, cre] , Samir Barman [aut, ctb] , Kanchan Sinha [aut, ctb] , K. N. Singh [aut, ctb]


Documentation:   PDF Manual  


GPL-3 license


Depends on e1071, forecast


Depended on by THETASVM.


See at CRAN