R Observatory: Metrics for TSLSTM version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

TSLSTM

0.1.0Package record

Long Short Term Memory (LSTM) Model for Time Series Forecasting

1packages depend

3.3Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Dr. Ranjit Kumar PaulCRAN page ↗

The LSTM (Long Short-Term Memory) model is a Recurrent Neural Network (RNN) based architecture that is widely used for time series forecasting. Min-Max transformation has been used for data preparation. Here, we have used one LSTM layer as a simple LSTM model and a Dense layer is used as the output layer. Then, compile the model using the loss function, optimizer and metrics. This package is based on Keras and TensorFlow modules and the algorithm of Paul and Garai (2021) doi:10.1007/s00500-021-06087-4.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("TSLSTM", 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-tslstm

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-TSLSTM

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-TSLSTM

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

Additional issues

donttest

CRAN check page ↗

Slowest check: 4.6 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 1
Examples that run: 0%1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 100%

How these are measured

Downloads

3.3K

CRAN downloads in the past year

Rank #13,029 · ~9/day · ~279/mo

Releases R versions

Daily download trend is not available in this view yet.

31130 days

86990 days

3.3K1 year

Compare downloads with other packages →

Also on89 r2u3 autocran71 c2d4u

How downloads are counted

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Installing TSLSTM 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.

Depends (0)

none

Imports (4)

keras tensorflow tsutilsstats

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Imports 1

Depends, Imports or LinkingTo, most downloaded first

WaveletLSTM

How these are counted

Code & Tests

People & History

People (2)

Dr. Ranjit Kumar Paul

Author, Maintainer since 0.1.0 (2022)

Dr. Md Yeasin

Author

Releases (1)

R
R 4.6.0 released · 2026-04-24
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
R
R 4.2.0 released · 2022-04-22
0.1.0Latest
record
2022-01-13 · current release
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2022-01-13
Total releases: 1 / 4 yrs
License: GPL-3 OSI
Download size: 3.1 KB

Appears in task views

Time Series Analysis

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("TSLSTM")

Format

Paul, D. R. K., & Yeasin, D. M. (2022). TSLSTM: Long Short Term Memory (LSTM) Model for Time Series Forecasting (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.TSLSTM

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for TSLSTM version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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