Package: stlTDNN
Type: Package
Title: STL Decomposition and TDNN Hybrid Time Series Forecasting
Version: 0.1.0
Authors@R: 
  c(person(given = "Girish Kumar",
         family = "Jha",
         role = c("aut", "cre"),
         email = "girish.stat@gmail.com"),
  person(given = "Ronit",
         family = "Jaiswal",
         role =  c("aut", "ctb")),
  person(given = "Kapil",
         family = "Choudhary",
         role =  "ctb"),
  person(given = "Rajeev Ranjan",
         family = "Kumar",
         role = "ctb"))
Maintainer: Girish Kumar Jha <girish.stat@gmail.com>
Description: Implementation of hybrid STL decomposition based time
        delay neural network model for univariate time series
        forecasting. For method details see Jha G K, Sinha, K (2014).
        <doi:10.1007/s00521-012-1264-z>, Xiong T, Li C, Bao Y (2018).
        <doi:10.1016/j.neucom.2017.11.053>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: forecast, nnfor
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2026-09-22 11:41:45 UTC; root
Author: Girish Kumar Jha [aut, cre], Ronit Jaiswal [aut, ctb], Kapil
        Choudhary [ctb], Rajeev Ranjan Kumar [ctb]
Repository: https://cran.r-universe.dev
Date/Publication: 2021-02-24 08:20:03 UTC
RemoteUrl: https://github.com/cran/stlTDNN
RemoteRef: HEAD
RemoteSha: 54e5d272912128f8001c7da56ed7504287e474de