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DecomposeR

1.0.7Package record

Empirical Mode Decomposition for Cyclostratigraphy

1packages depend
3.8Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Tools to apply Ensemble Empirical Mode Decomposition (EEMD) for cyclostratigraphy purposes. Mainly: a new algorithm, extricate, that performs EEMD in seconds, a linear interpolation algorithm using the greatest rational common divisor of depth or time, different algorithms to compute instantaneous amplitude, frequency and ratios of frequencies, and functions to verify and visualise the outputs. The functions were developed during the CRASH project (Checking the Reproducibility of Astrochronology in the Hauterivian). When using for publication please cite Wouters, S., Crucifix, M., Sinnesael, M., Da Silva, A.C., Zeeden, C., Zivanovic, M., Boulvain, F., Devleeschouwer, X., 2022, "A decomposition approach to cyclostratigraphic signal processing". Earth-Science Reviews 225 (103894). doi:10.1016/j.earscirev.2021.103894.

Changes in 1.0.7
  • Maintaining links to StratigrapheR package

From NEWS in the release

Install

Health

CRAN checks
13OK
Slowest check: 3.5 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.7
READMENoVignettesNoNEWSYes · 100% structured · mentions 1.0.7Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
41
Examples that run
100%38 run in a plain check
Exported functions with examples
97%
Documented parameters
82%
Return-value docs
67%
Help pages citing references
15%

Downloads

3.8K
CRAN downloads in the past year
Rank #10,509 · ~10/day · ~314/mo
Daily download trend is not available in this view yet.
40230 days
96690 days
3.8K1 year
Compare downloads with other packages →
Also on85 r2u12 autocran

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing DecomposeR adds 70 packages (37 with compiled code, 53 MB of source tarballs). Heaviest: stringi 11 MB, bslib 5.6 MB, pak 3.8 MB.

Depends (1)
R >= 4.0.0
LinkingTo (0)
none
Suggests (3)
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (1)
Author, Maintainer since 1.0.0 (2020)
Releases (8)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.7Latest
    record
    2025-07-28 · current release · diff ↗
  • 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
  • 1.0.6
    record
    2023-02-02 · diff ↗
  • 1.0.5
    record
    2022-12-02 · diff ↗ ·
    added 4 exports
    HilbertEnvelope, HilbertTransform, InstantaneousFrequency, PrecisionTester
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0.4
    record
    2021-07-06 · diff ↗ ·
    added 3 exports
    approx.cor, check.emd, simple.ssa
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0.3
    record
    2020-11-03 · diff ↗ ·
    added 1 export
    normalize
  • 1.0.2
    record
    2020-06-01 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0.1
    record
    2020-04-01 · diff ↗
  • 1.0.0
    record
    2020-03-20
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2020-03-20
Total releases
8 / 6 yrs
License
GPL-3 OSI
Minimum R
≥ 4.0.0
Bundled data
507 KB / 14 files
Download size
561 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("DecomposeR")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1016/j.earscirev.2021.103894.

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 DecomposeR version 1.0.7 [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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