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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 |
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