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TSdeeplearning

1.0.1Package record

Deep Learning Model for Time Series Forecasting

1packages depend
2.8Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespaces in Imports field not imported from:
  ‘reticulate’ ‘tensorflow’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 2.8 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-06-09
  • ERROR10 OK, 2 NOTE, 1 ERROR2026-06-08
  • NOTE6 OK, 2 NOTE2026-04-14
Advisories

none known

Documentation

In release 1.0.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
4
Examples that run
0%4 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
100%

Downloads

2.8K
CRAN downloads in the past year
Rank #8,135 · ~8/day · ~230/mo
Daily download trend is not available in this view yet.
41230 days
1.1K90 days
2.8K1 year
Compare downloads with other packages →
Also on80 r2u50 c2d4u

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing TSdeeplearning adds 65 packages (36 with compiled code, 42 MB of source tarballs). Heaviest: ggplot2 6.0 MB, keras 3.4 MB, smooth 3.4 MB. 1 more not on CRAN is not measured.

Depends (1)
R >= 2.10
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (4)
Author, Maintainer since 0.1.0 (2022)
Author, Contributor
Author, Thesis advisor, Contributor
Author, Contributor
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • unarchivedReturned to CRAN
    2026-04-13
  • 1.0.1Latest
    record
    2026-04-13 · current release · diff ↗
  • archivedRemoved from CRAN
    2025-11-23
    issues were not corrected in time
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.0
    record
    2022-09-09
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-09-09
Total releases
2 / 4 yrs
License
GPL-3 OSI
Minimum R
≥ 2.10
Bundled data
1.3 KB / 1 file
Download size
7.1 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("TSdeeplearning")
Jaiswal, R., Choudhary, K., Jha, G. K., & Kumar, R. R. (2026). TSdeeplearning: Deep Learning Model for Time Series Forecasting (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.TSdeeplearning

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for TSdeeplearning version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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