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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "VisualDom" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'VisualDom: Visualize Dominant Variables in Wavelet Multiple Correlation'
version: 0.8.0
doi: 10.32614/CRAN.package.VisualDom
abstract: 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) <https://doi.org/10.1016/j.physa.2017.11.050>, Polanco-Martínez
  et al. (2020) <https://doi.org/10.1038/s41598-020-77767-8> and Polanco-Martínez
  (2023, in press).
authors:
- family-names: Polanco-Martínez
  given-names: Josué M.
  email: josue.m.polanco@gmail.com
  orcid: https://orcid.org/0000-0001-7164-0185
repository: https://jomopo.r-universe.dev
commit: 922c79dc5f324664f84c7453fda762e50f878dcc
date-released: '2022-12-21'
contact:
- family-names: Polanco-Martínez
  given-names: Josué M.
  email: josue.m.polanco@gmail.com
  orcid: https://orcid.org/0000-0001-7164-0185