The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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
DOI: 10.32614/CRAN.package.FiSh
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=FiSh to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.