Package: THETASVM
Type: Package
Title: Time Series Forecasting using THETA-SVM Hybrid Model
Version: 0.1.0
Authors@R: c(person("Fasila", "K. P.", role = c("aut", "ctb")),
            person(" Mrinmoy", "Ray", role = c("aut", "cre"),email = "mrinmoy4848@gmail.com"),
            person("Rajeev", "Ranjan Kumar", role = c("aut", "ctb")),
            person("K. N.", "Singh", role = c("aut", "ctb")),
           person("Amrender", "Kumar", role = c("aut", "ctb")),
           person("Santosha", "Rathod", role = c("aut", "ctb")))
Depends: R (>= 2.3.1), stats,forecast, tseries, TSSVM
Description: Testing, Implementation, and Forecasting of the THETA-SVM
        hybrid model. The THETA-SVM hybrid model combines the distinct
        strengths of the THETA model and the Support Vector Machine
        (SVM) model for time series forecasting.For method details see
        Bhattacharyya et al. (2022) <doi:10.1007/s11071-021-07099-3>.
Encoding: UTF-8
License: GPL-3
NeedsCompilation: no
Packaged: 2026-09-23 07:31:58 UTC; root
Author: Fasila K. P. [aut, ctb], Mrinmoy Ray [aut, cre], Rajeev Ranjan
        Kumar [aut, ctb], K. N. Singh [aut, ctb], Amrender Kumar [aut,
        ctb], Santosha Rathod [aut, ctb]
Maintainer: Mrinmoy Ray <mrinmoy4848@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2025-10-28 08:30:08 UTC
RemoteUrl: https://github.com/cran/THETASVM
RemoteRef: HEAD
RemoteSha: 55e336acb59109c3b8a0cfb386a1c3b01de88b29