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-oldrel (arm64): FiSh_1.1.tgz, r-release (x86_64): FiSh_1.1.tgz, r-oldrel (x86_64): FiSh_1.1.tgz
Old sources:	FiSh archive

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