R Observatory: Metrics for EEMDlstm version 1.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

EEMDlstm

1.0.1Package record

EEMD Based LSTM Model for Time Series Forecasting

0packages depend

2.6Kdownloads / year

–test coverage

11/13flavors OK

Overview

About

Maintained by Ronit JaiswalCRAN page ↗

Forecasting univariate time series with ensemble empirical mode decomposition (EEMD) with long short-term memory (LSTM). For method details see Jaiswal, R. et al. (2022). doi:10.1007/s00521-021-06621-3.

Install

R (CRAN)Ubuntu (r2u)

install.packages("EEMDlstm", 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-eemdlstm

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

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
NOTE5 OK, 2 NOTE2026-04-14

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.1

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 3
Examples that run: 33%1 run in a plain check · 2 never run
Exported functions with examples: 100%
Documented parameters: 90%
Return-value docs: 100%
Help pages citing references: 100%

How these are measured

Downloads

2.6K

CRAN downloads in the past year

Rank #11,558 · ~7/day · ~213/mo

Releases R versions

Daily download trend is not available in this view yet.

29230 days

93990 days

2.6K1 year

Compare downloads with other packages →

Also on378 r2u

How downloads are counted

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Installing EEMDlstm adds 67 packages (37 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

Imports (10)

keras tensorflow reticulate tsutils BiocGenericsutilsgraphicsmagrittr Rlibeemd TSdeeplearning

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (4)

Ronit Jaiswal

Contributor, Maintainer since 1.0.1 (2026)

Kapil Choudhary

Author

Girish Kumar Jha

Author, Thesis advisor, Contributor

Rajeev Ranjan Kumar

Contributor

Previously maintained by Kapil Choudhary (0.1.0).

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
2025-11-09
check 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
2022-09-26
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2022-09-26
Total releases: 2 / 4 yrs
License: GPL-3 OSI
Minimum R: ≥ 2.10
Bundled data: 1.3 KB / 1 file
Download size: 5.9 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("EEMDlstm")

Format

Jaiswal, R., Choudhary, K., Jha, G. K., & Kumar, R. R. (2026). EEMDlstm: EEMD Based LSTM Model for Time Series Forecasting (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.EEMDlstm

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 EEMDlstm version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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