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      Proposes non-parametric estimates of the Fisher information measure and the Shannon entropy power. More theoretical and implementation details can be found in Guignard et al. <doi:10.3389/feart.2020.00255>. A 'python' version of this work is available on 'github' and 'PyPi' ('FiShPy').
Package details | 
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| Author | Fabian Guignard [aut], Mohamed Laib [aut, cre] | 
| Maintainer | Mohamed Laib <laib.med@gmail.com> | 
| License | MIT + file LICENSE | 
| Version | 1.1 | 
| Package repository | View on CRAN | 
| Installation | 
                Install the latest version of this package by entering the following in R:
                
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