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VisualDom

0.8.0

Visualize Dominant Variables in Wavelet Multiple Correlation

0packages depend
1.9Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Josué M. Polanco-MartínezFirst published 2023-01-061 releasesCRAN page ↗

Estimates and plots as a heat map the correlation coefficients obtained via the wavelet local multiple correlation 'WLMC' (Fernández-Macho 2018) and the 'dominant' variable/s, i.e., the variable/s that maximizes the multiple correlation through time and scale (Polanco-Martínez et al. 2020, Polanco-Martínez 2022). We improve the graphical outputs of WLMC proposing a didactic and useful way to visualize the 'dominant' variable(s) for a set of time series. The WLMC was designed for financial time series, but other kinds of data (e.g., climatic, ecological, etc.) can be used. The functions contained in 'VisualDom' are highly flexible since these contains several parameters to personalize the time series under analysis and the heat maps. In addition, we have also included two data sets (named 'rdata_climate' and 'rdata_Lorenz') to exemplify the use of the functions contained in 'VisualDom'. Methods derived from Fernández-Macho (2018) doi:10.1016/j.physa.2017.11.050, Polanco-Martínez et al. (2020) doi:10.1038/s41598-020-77767-8 and Polanco-Martínez (2023, in press).

Install

Health

CRAN checks
13OK
Slowest check: 1.7 min · r-oldrel-macos-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
3
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
33%
Documented parameters
not tracked
Return-value docs
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References docs
67%

Downloads

1.9K
CRAN downloads in the past year
Rank #22,625 · ~5/day · ~160/mo
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47090 days
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Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (4)
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Copyright holder, Maintainer
Authors (1)
Author, Copyright holder, Maintainer
Copyright holders (1)
Author, Copyright holder, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.8.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2023-01-06
Total releases
1 / 3 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.6.0
Bundled data
47 KB / 2 files
Download size
80 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("VisualDom")
Polanco-Martínez, J. M. (2023). VisualDom: Visualize Dominant Variables in Wavelet Multiple Correlation (Version 0.8.0) [Computer software]. https://doi.org/10.32614/CRAN.package.VisualDom

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for VisualDom version 0.8.0 [Data set]. HJJB, LLC. Data release v2026-08-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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