Package: TSdeeplearning
Type: Package
Title: Deep Learning Model for Time Series Forecasting
Version: 1.0.1
Authors@R: 
  c(person(given = "Ronit",
         family = "Jaiswal",
         role = c("aut", "cre"),
         email = "ronitjaiswal2912@gmail.com"),
  person(given = "Girish Kumar",
         family = "Jha",
         role =  c("aut", "ths", "ctb")),
  person(given = "Rajeev Ranjan ",
         family = "Kumar",
         role =  c("aut", "ctb")),
  person(given = "Kapil",
         family = "Choudhary",
         role = c("aut", "ctb")))
Maintainer: Ronit Jaiswal <ronitjaiswal2912@gmail.com>
Description: Provides deep learning models for time series forecasting
        using Recurrent Neural Networks (RNN), Long Short-Term Memory
        (LSTM), and Gated Recurrent Unit (GRU). These models capture
        temporal dependencies and address vanishing gradient issues in
        sequential data. The package enables efficient forecasting for
        univariate time series. For methodological details see Jaiswal
        and co-authors (2022). <doi:10.1007/s00521-021-06621-3>.
Language: en-US
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Imports: tensorflow, keras, reticulate, tsutils, BiocGenerics, utils,
        graphics, magrittr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2026-07-12 06:02:19 UTC; root
Author: Ronit Jaiswal [aut, cre], Girish Kumar Jha [aut, ths, ctb],
        Rajeev Ranjan Kumar [aut, ctb], Kapil Choudhary [aut, ctb]
Config/pak/sysreqs: cmake texlive libpng-dev libssl-dev python3
Repository: https://ronit10976.r-universe.dev
Date/Publication: 2026-04-13 09:14:48 UTC
RemoteUrl: https://github.com/cran/TSdeeplearning
RemoteRef: HEAD
RemoteSha: fbece29192dfafee1a893c4646a54d197587aa87