irg-package: irg: Granger-Causal Tests for Irregularly Sampled Signals
In SMAC-Group/irg: Granger-Causal Tests for Irregularly Sampled Signals
Description
Details
Author(s)
See Also
Description
This package implements the framework proposed in Heerah et al. (2020) to perform Granger-Causal tests on (short) bivariate and irregularly sampled signals (with same sampling times for each signal). The main functions allow to plot the two signals of interest and to perform a Granger-Causal test for the different directions of possible influence.
Details
The data sets in this package may change at a moments notice.
Author(s)
Maintainer: Roberto Molinari roberto.molinari@hotmail.it [copyright holder]
Authors:
Stephane Guerrier [copyright holder]
See Also
Useful links:
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Report bugs at https://github.com/SMAC-Group/irg/issues
SMAC-Group/irg documentation built on Sept. 9, 2021, 7:16 p.m.
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Description Details Author(s) See Also
Description
This package implements the framework proposed in Heerah et al. (2020) to perform Granger-Causal tests on (short) bivariate and irregularly sampled signals (with same sampling times for each signal). The main functions allow to plot the two signals of interest and to perform a Granger-Causal test for the different directions of possible influence.
Details
The data sets in this package may change at a moments notice.
Author(s)
Maintainer: Roberto Molinari roberto.molinari@hotmail.it [copyright holder]
Authors:
Stephane Guerrier [copyright holder]
See Also
Useful links:
Report bugs at https://github.com/SMAC-Group/irg/issues
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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