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: 2021-02-22 14:54:50 UTC; Rajeev-PC
Author: Girish Kumar Jha [aut, cre],
  Ronit Jaiswal [aut, ctb],
  Kapil Choudhary [ctb],
  Rajeev Ranjan Kumar [ctb]
Repository: CRAN
Date/Publication: 2021-02-24 09:20:03 UTC
Built: R 4.6.0; ; 2025-07-18 10:45:44 UTC; unix
