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) <doi:10.1016/S0925-2312(03)00372-2>.
Version: 0.1.0 Depends: R (≥ 2.3.1), e1071, forecast Published: 2022-12-02 DOI: 10.32614/CRAN.package.TSSVM Author: Mrinmoy Ray [aut, cre], Samir Barman [aut, ctb], Kanchan Sinha [aut, ctb], K. N. Singh [aut, ctb] Maintainer: Mrinmoy Ray <mrinmoy4848 at gmail.com> License: GPL-3 NeedsCompilation: no CRAN checks: TSSVM results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=TSSVM to link to this page.
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