FiSh: Fisher-Shannon Method

Proposes non-parametric estimates of the Fisher information measure and the Shannon entropy power. The state-of-the-art studies related to the Fisher-Shannon measures, with new analytical formulas for positive unimodal skewed distributions are presented in Guignard et al. <arXiv:1912.02452>. A 'python' version of this work is available on 'github' and 'PyPi' ('FiShPy').

Version: 1.0
Imports: fda.usc, KernSmooth
Published: 2019-12-16
Author: Fabian Guignard [aut], Mohamed Laib [aut, cre]
Maintainer: Mohamed Laib < at>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: FiSh results


Reference manual: FiSh.pdf
Package source: FiSh_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: FiSh_1.0.tgz, r-oldrel: FiSh_1.0.tgz


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