Deep Learning Model for Time Series Forecasting R package TSdeeplearning version 1.0.1 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>. Software Depends: R (>= 2.10) Imports: tensorflow, keras, reticulate, tsutils, BiocGenerics, utils, graphics, magrittr Ronit Jaiswal <ronitjaiswal2912@gmail.com> Comprehensive R Archive Network (CRAN) Ronit Jaiswal [aut, cre], Girish Kumar Jha [aut, ths, ctb], Rajeev Ranjan Kumar [aut, ctb], Kapil Choudhary [aut, ctb] GPL-3 2026-04-13 application/tgz https://CRAN.R-project.org/package=TSdeeplearning doi:10.32614/CRAN.package.TSdeeplearning en-US