FiSh: Fisher-Shannon Method

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').

Version: 1.1
Imports: fda.usc, KernSmooth
Published: 2021-05-03
Author: Fabian Guignard [aut], Mohamed Laib [aut, cre]
Maintainer: Mohamed Laib <laib.med at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: FiSh results

Documentation:

Reference manual: FiSh.pdf

Downloads:

Package source: FiSh_1.1.tar.gz
Windows binaries: r-devel: FiSh_1.1.zip, r-release: FiSh_1.1.zip, r-oldrel: FiSh_1.1.zip
macOS binaries: r-release (arm64): FiSh_1.1.tgz, r-release (x86_64): FiSh_1.1.tgz, r-oldrel: FiSh_1.1.tgz
Old sources: FiSh archive

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