| Name : R-VisualDom
| |
| Version : 0.8.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.2.2
| Date : 2024-06-14 11:34:57
|
| Group : Development/Libraries/Other
| Source RPM : R-VisualDom-0.8.0-lp153.2.2.src.rpm
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| Size : 0.10 MB
| |
| Packager : (none)
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| Summary : Visualize Dominant Variables in Wavelet Multiple Correlation
|
Description :
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).
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
