Package: W2CWM2C 2.2

W2CWM2C: A Graphical Tool for Wavelet (Cross) Correlation and Wavelet Multiple (Cross) Correlation Analysis

Set of functions that improves the graphical presentations of the functions: wave.correlation and spin.correlation (waveslim package, Whitcher 2012) and the wave.multiple.correlation and wave.multiple.cross.correlation (wavemulcor package, Fernandez-Macho 2012b). The plot outputs (heatmaps) can be displayed in the screen or can be saved as PNG or JPG images or as PDF or EPS formats. The W2CWM2C package also helps to handle the (input data) multivariate time series easily as a list of N elements (times series) and provides a multivariate data set (dataexample) to exemplify its use. A description of the package was published in a scientific paper: Polanco-Martinez and Fernandez-Macho (2014), <doi:10.1109/MCSE.2014.96>.

Authors:Josue M. Polanco-Martinez [aut, cre]

W2CWM2C_2.2.tar.gz
W2CWM2C_2.2.zip(r-4.5)W2CWM2C_2.2.zip(r-4.4)W2CWM2C_2.2.zip(r-4.3)
W2CWM2C_2.2.tgz(r-4.4-any)W2CWM2C_2.2.tgz(r-4.3-any)
W2CWM2C_2.2.tar.gz(r-4.5-noble)W2CWM2C_2.2.tar.gz(r-4.4-noble)
W2CWM2C_2.2.tgz(r-4.4-emscripten)W2CWM2C_2.2.tgz(r-4.3-emscripten)
W2CWM2C.pdf |W2CWM2C.html
W2CWM2C/json (API)

# Install 'W2CWM2C' in R:
install.packages('W2CWM2C', repos = c('https://jomopo.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jomopo/w2cwm2c/issues

On CRAN:

2.70 score 6 scripts 208 downloads 0 exports 7 dependencies

Last updated 2 years agofrom:09df75d7f6. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-winNOTEOct 27 2024
R-4.5-linuxNOTEOct 27 2024
R-4.4-winNOTEOct 27 2024
R-4.4-macNOTEOct 27 2024
R-4.3-winNOTEOct 27 2024
R-4.3-macNOTEOct 27 2024

Exports:

Dependencies:colorspacemisc3dmultitaperplot3DRColorBrewerwavemulcorwaveslim