R Observatory: Metrics for TSdeeplearning version 1.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

TSdeeplearning

1.0.1

Deep Learning Model for Time Series Forecasting

1packages depend

1.9Kdownloads / year

–test coverage

11/13checks pass

Overview

About

Maintained by Ronit JaiswalFirst published 2026-04-132 releasesCRAN page ↗

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

R (CRAN)Ubuntu (r2u)

install.packages("TSdeeplearning", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-tsdeeplearning

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

Health

CRAN checks

2NOTE11OK

Failing flavors

NOTE r-devel-linux-x86_64-fedora-clang
NOTE r-devel-linux-x86_64-fedora-gcc

Slowest check: 4.2 min · r-devel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

8

Dependencies · direct

Check history

NOTE2026-06-09
11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
10 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-04-14
6 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 0%
Documented parameters: 100%
Return-value docs: 100%
References docs: 100%

Downloads

1.9K

CRAN downloads in the past year

Rank #7,547 · ~5/day · ~157/mo

Releases R versions

Daily download trend is not available in this view yet.

24730 days

1.2K90 days

1.9K1 year

Compare downloads with other packages →

Also on110 r2u27 c2d4u

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Depends (1)

R >= 2.10

Imports (8)

tensorflow keras reticulate tsutils BiocGenericsutilsgraphicsmagrittr

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

EEMDlstm

Code & Tests

People & History

People (4)

Maintainer (1)

Ronit Jaiswal

Author, Maintainer

Authors (4)

Ronit Jaiswal

Author, Maintainer

Kapil Choudhary

Author, Contributor

Girish Kumar Jha

Author, Thesis advisor, Contributor

Rajeev Ranjan Kumar

Author, Contributor

Contributors (3)

Kapil Choudhary

Author, Contributor

Girish Kumar Jha

Author, Thesis advisor, Contributor

Rajeev Ranjan Kumar

Author, Contributor

Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
1.0.1Latest
2026-04-13 · current release · diff ↗
unarchivedReturned to CRAN
2026-04-13
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
2022-09-09
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2026-04-13
Total releases: 2 / 1 yrs
License: GPL-3 OSI
Minimum R: ≥ 2.10
Bundled data: 1.3 KB / 1 file
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("TSdeeplearning")

Format

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 is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for TSdeeplearning version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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